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10 of the Best Free Streaming Apps in 2024

free streaming

In the ever-expanding universe of digital entertainment, the allure of free streaming apps has never been stronger. As we navigate through 2024, the landscape of free streaming services offers a rich tapestry of content, from timeless classics to the latest blockbuster hits. If you’re on the hunt for quality entertainment without the price tag, you’re in luck. We’ve curated a list of the top 10 free streaming apps that promise to keep you engaged without dipping into your wallet.

  1. Freevee (formerly IMDb TV) shines as a beacon for those who revel in a vast array of movies and popular TV shows. It stands out for its well-produced original content that keeps viewers coming back for more. While it’s ad-supported and its interface might feel a tad outdated, the trade-off is a treasure trove of entertainment that’s hard to pass up, it is owned by Amazon and comes in the form of an App.
  2. The Roku Channel offers a compelling reason to invest in a Roku device, thanks to its free live TV channels and a robust library of on-demand content. With an increasing roster of Roku Originals, it’s carving out a niche for itself. Bear in mind, its full potential is unlocked with Roku hardware, and yes, it includes ads.
  3. Pluto TV mimics traditional TV with its impressive lineup of linear-style channels alongside a selection of on-demand movies and shows. It’s a fantastic option for those who miss channel surfing. However, pinpointing specific on-demand titles can be a bit of a scavenger hunt. Advertisements are part of the package here as well.
  4. Tubi is the hidden gem hunter’s dream, boasting an extensive collection of movies and TV shows. Its library is peppered with both mainstream hits and lesser-known titles, ensuring there’s always something new to discover. Ads support the service, and some content may not be the latest releases.
  5. Crackle delivers a nostalgic mix of classic and recent movies and TV shows, often surprising viewers with unexpected hits. While it’s ad-supported and its selection isn’t the largest, the quality of what’s available makes it a worthwhile stop for entertainment seekers.
  6. Sling Freestream offers a varied selection of live news, sports, and entertainment channels, complemented by some on-demand content. It’s a free offshoot of Sling’s paid subscriptions, bringing a taste of its premium offering to the table without any cost, aside from the presence of ads.
  7. Vudu is a movie lover’s paradise, featuring a vast catalog of popular films available for free viewing (with ads) or for purchase/rent. While it’s more movie-centric, offering fewer TV show options, its selection is regularly updated with fresh content.
  8. Xumo focuses on live news and sports, providing a good mix of channels for those interested in staying updated or catching the latest game. It’s ad-supported and might lean less towards movies and popular shows, but its live content is a strong draw.
  9. Peacock, the home of NBC’s beloved shows, presents a decent mix of movies and series. It operates on a freemium model, where its best shows are reserved for the paid tier, but the free content is still abundant and engaging.
  10. Kanopy sets itself apart by catering to fans of documentaries, foreign films, and educational content. Access requires a library card, making it a unique partnership with libraries across the country. It’s a treasure trove for the intellectually curious.

Availability and Content to Note:

It’s important to remember that the availability of these free streaming services can vary by region. Additionally, being predominantly ad-supported means you’ll encounter commercial breaks. Content libraries are also in constant flux, so your favorite show today might not be available tomorrow.

By exploring these free streaming apps, you unlock a world of entertainment without the financial commitment. Each platform has its unique strengths and potential drawbacks, but together, they offer an impressive range of choices for every type of viewer. Whether you’re a movie buff, a TV series aficionado, or someone who loves stumbling upon hidden gems, there’s something for everyone in 2024’s lineup of free streaming services.

Image Credit: Tech Daily

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NixOS free open source Linux makes system configuration easy

NixOS Linux makes system configuration easy

If you’re in the market for a Linux distribution that offers advanced package and system management, NixOS is a platform that might catch your interest. It stands out with its unique approach to handling software packages and system configurations, aiming to provide users with both stability and flexibility. This Linux distribution is designed for those who need a reliable and efficient system, and it comes with a set of features that make it an attractive option for developers and system administrators.

At the heart of NixOS is its declarative package management system. This system is different from the traditional methods you might be familiar with, such as apt or Pacman. Instead, NixOS uses the Nix package manager, which is more similar to npm or Gem. With NixOS, you simply declare what you want your system to look like, and the operating system takes care of making it happen. This means you don’t have to manually handle the installation and maintenance of packages.

One of the most appealing aspects of NixOS is its ability to roll back system updates. If you find that an update causes issues with your workflow, you can quickly return to a previous state using the boot menu. This rollback feature acts as a safety net, protecting you from updates that might otherwise cause problems and giving you the confidence to update without fear.

How to use NixOS system configuration features

NixOS also streamlines system configuration by centralizing it. Instead of dealing with scattered configuration files as you might in other distributions, NixOS consolidates configurations into a single file or just a few files. This makes it much easier to control versions and replicate systems, which simplifies the setup and recovery processes. Watch the fantastic tutorial kindly created by Tris at No Boilerplate to learn more about the NixOS and how you can easily configure your system and move these settings to others. To create reproducible, declarative and reliable system configurations.

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The distribution caters to different types of users by offering both stable and unstable channels. This means that whether you’re someone who needs a dependable system or someone who likes to try out the latest features, NixOS has you covered. And because it’s so easy to roll back changes, you can experiment with new updates without worrying about compromising your system’s stability.

Creating systemd services is made simpler with NixOS, which normalizes system configuration tasks. This means you can manage services efficiently without having to write complex scripts or deal with complicated configurations.

For those who are particularly concerned with reproducibility, NixOS introduces Nix Flakes. This feature ensures that you can replicate your system, with all its dependencies and configurations, anywhere. Additionally, Home Manager is a tool that helps manage user-specific configurations, maintaining consistency across different installations.

NixOS is particularly adept at managing package dependencies. It isolates them, which helps to avoid version conflicts and broken packages. This isolation is beneficial for both development and production environments, as it contributes to the overall robustness of the system.

For those interested in learning more about NixOS, there are plenty of resources available. Vim Joy’s comprehensive guide and Tris’s Patreon content and podcasts provide valuable insights and practical advice on how to get the most out of NixOS. They emphasize the importance of understanding its declarative nature and recommend steering clear of commands that might conflict with the operating system’s design principles.

NixOS is a compelling option within the Linux ecosystem for those looking for innovative features that improve stability, reproducibility, and ease of management. It’s suitable for both seasoned Linux users and newcomers. With its ability to roll back changes and its declarative management style, NixOS could be the efficient and dependable platform that meets your needs.

Understanding NixOS and Its Package Management

NixOS is a Linux distribution that distinguishes itself with a unique approach to package and system management. It is designed to offer users a high degree of stability and flexibility, making it an appealing choice for developers and system administrators who require a reliable and efficient operating system. The distribution is equipped with a range of features that enhance its attractiveness, particularly its advanced package management capabilities.

At the core of NixOS is its declarative package management system. Unlike traditional package managers like apt or Pacman, NixOS employs the Nix package manager, which shares similarities with npm or Gem from other programming environments. In NixOS, users declare the desired state of their system in configuration files, and the Nix package manager automates the process of achieving that state. This approach eliminates the need for manual package installation and maintenance, streamlining the management of software on the system.

Rollback Capabilities and System Configuration

One of the standout features of NixOS is its ability to roll back system updates. This functionality provides a safety net for users, allowing them to revert to a previous system state if a new update introduces problems. The rollback capability is accessible through the boot menu, offering a straightforward way to restore the system to a known good configuration. This feature enhances user confidence in applying updates, knowing that they can easily undo changes if necessary.

System configuration in NixOS is centralized, which contrasts with the scattered configuration files found in many other Linux distributions. NixOS consolidates system settings into one or a few configuration files, simplifying version control and system replication. This centralization aids in setting up new systems and recovering from issues, as configurations can be easily copied and applied to other installations.

Channels, Services, and Reproducibility in NixOS

NixOS caters to a diverse user base by offering both stable and unstable channels. Users who prioritize a stable and reliable system can opt for the stable channel, while those interested in experimenting with cutting-edge features may choose the unstable channel. The ease of rolling back changes in NixOS encourages users to try new updates without the risk of destabilizing their system.

The creation and management of systemd services are streamlined in NixOS. The distribution normalizes system configuration tasks, allowing users to manage services effectively without the need for intricate scripts or complex configurations. For users focused on reproducibility, NixOS introduces features like Nix Flakes and Home Manager. Nix Flakes ensure that systems can be replicated with exact dependencies and configurations, regardless of the environment. Home Manager assists in managing user-specific configurations, ensuring consistency across different systems.

NixOS’s approach to managing package dependencies is particularly noteworthy. It isolates dependencies to prevent version conflicts and broken packages, which is advantageous in both development and production settings. This isolation contributes to the system’s robustness and reliability. NixOS is a compelling choice within the Linux ecosystem for those seeking innovative features that enhance stability, reproducibility, and ease of management. Its rollback capabilities, declarative management style, and advanced package handling make it a suitable platform for both experienced Linux users and those new to the operating system. To download the Linux operating system jump over to the official website.

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Easily integrate AI into your applications for free using CopilotKit

Easily integrate AI into your applications for free using CopilotKit

With new artificial intelligent (AI) applications being developed on a daily basis, staying ahead of the curve is crucial for developers. CopilotKit is a new tool that’s making waves among developers for its ability to seamlessly blend AI into applications. CopilotKit allows developers to create AI-enabled applications by incorporating a GPT-based AI agents into their software. The toolkit has evolved from coding tools like GitHub Copilot to being used in various applications, including productivity software and CRM systems like Salesforce Einstein.

“AI Copilots for your product in hours, not months – CopilotKit“

This open-source platform is not just a simple addition to your toolkit; it’s a comprehensive solution that can elevate your projects, whether you’re working on straightforward productivity software or intricate customer relationship management systems. At the heart of CopilotKit is a GPT-based AI core, which is designed to make your applications smarter and more interactive. Imagine creating a program that not only performs tasks but also understands and responds to user needs. That’s the kind of dynamic environment CopilotKit can help you build. With features like Copilot Chat and Copilot Text Area, your applications can become more engaging and intuitive.

AI Copilots

Context – Build smart copilots that understand context.
Actions – Increase productivity and engagement with actions.
Knowledge – Retrieval Augmented Generation (RAG) from any data source.

How to add AI to your apps

The true strength of CopilotKit lies in its ability to integrate with different parts of your application. Whether it’s the user interface, the server-side logic, or connections to other services, CopilotKit is designed to fit right in. This flexibility is key because it lets you tailor the AI’s capabilities to your specific needs, ensuring that the integration is smooth and effective.

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One feature that sets CopilotKit apart is its context-aware assistance. This isn’t just an AI that understands code; it understands the situation that the code is used in. This means it can offer relevant suggestions, automate repetitive tasks, and provide support that feels like you’re working with another human. By using retrieval-augmented generation, or RAG, CopilotKit can pull information from various data sources to inform its responses, making it an incredibly useful tool for developers.

Efficiency is at the forefront of what CopilotKit offers. The platform’s debugging features, auto-completion, and context-informed insertions do more than just save time—they improve the quality of your work. These tools help you write better code faster and with fewer mistakes, freeing you up to focus on the more creative aspects of development.

Getting started with CopilotKit is straightforward. You’ll need to be familiar with React for integrating it into the front end, have a code editor like Visual Studio Code, and obtain an API key from OpenAI to access the GPT-based AI. Once you have these components, incorporating CopilotKit into your React application is a breeze. And if you run into any snags, there’s plenty of support available, from GitHub documentation to community forums and dedicated communication channels like Discord.

By choosing to work with CopilotKit, you’re not just developing software; you’re creating intelligent, responsive, and context-aware applications that stand out in today’s digital landscape. This platform is your gateway to the next level of development, where AI is not just a feature but an integral part of the user experience. Embrace the potential of AI with CopilotKit and watch as your applications transform into something truly remarkable.

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HuggingFace Assistants free alternative to ChatGPT custom GPTs

HuggingFace Assistants free alternative to ChatGPT custom GPTs

HuggingFace has launched a new feature that allows users to create their own custom GPT assistants without the need for coding skills. This new service called HuggingFace Assistants this completely free to use and offers an alternative to OpenAI’s custom GPTs, which require a subscription to ChatGPT Plus.

HuggingFace’s offering is not only free but also provides more flexibility by allowing users to choose from a variety of open-source models. The AI platform has also announced upcoming features, such as the ability to add retrieval-augmented generation (RAG) for web searching capabilities and the creation of assistant thumbnails with AI. Additionally, HuggingFace is considering the introduction of function calling with REST endpoints for integrating custom functions into the assistants.

Create custom AI assistants for free

HuggingFace’s new service allows individuals to create their own AI assistants without any cost. This move directly challenges the existing paid models offered by OpenAI, democratizing access to advanced AI technology. HuggingFace’s service is designed to be user-friendly, requiring no coding expertise, which opens the door for a wide range of users, from students and professionals to enthusiasts, to benefit from custom AI solutions.

HuggingFace custom AI Assistants

HuggingFace’s platform is designed to be intuitive, making it simple for anyone to craft a GPT assistant tailored to their specific needs. This contrasts with OpenAI’s ChatGPT Plus, which is a paid service. By eliminating the cost barrier, HuggingFace is making it possible for more people to explore the potential of AI without financial constraints. The platform offers a variety of open-source models, allowing users to choose the one that best fits the intended purpose of their AI assistant. This flexibility ensures that the assistant can perform a wide range of tasks effectively.

The company is also looking to expand the capabilities of these AI assistants. They plan to introduce features such as retrieval-augmented generation, which will enable the assistants to perform web searches, thereby enhancing their functionality. Additionally, HuggingFace is working on incorporating AI-generated thumbnails to add a visual element to the assistants, making them more engaging and user-friendly.

HuggingFace Assistants

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Integration and accessibility are key focuses for HuggingFace. They are developing REST endpoints for custom functions, which will allow users to integrate specialized features into their AI assistants with ease. Access to these advanced tools is straightforward through the HuggingFace website, where users can start building their assistant from the ground up or modify ones created by the community. This approach fosters a collaborative environment and encourages innovation among users.

The potential applications for these AI assistants are vast and varied. For instance, the Code Llama model is designed to assist with coding tasks, showcasing HuggingFace’s dedication to providing practical solutions that can be applied in real-world scenarios. These AI tools are intended to boost productivity and assist users in tackling complex problems in different fields.

Community and support are also central to HuggingFace’s philosophy. The company offers Patreon benefits, highlighting the advantages of free AI tool subscriptions, consulting opportunities, networking, and collaborative community projects. These initiatives are aimed at creating a supportive ecosystem that not only encourages user engagement but also contributes to the continuous improvement of AI technologies.

HuggingFace’s introduction of free, customizable GPT assistants marks a significant advancement in the accessibility of AI. With an array of open-source models to choose from and a suite of upcoming features, the platform is reshaping the way personalized AI can be used. As HuggingFace continues to develop and expand its offerings, it is set to create new possibilities for users around the globe, making it easier than ever to harness the power of AI for a multitude of purposes.

Potential Future Features for AI Assistants

A list of interesting features that could be added in the near future. If you would like to suggest any that are not listed jump over to the official HuggingFace website and add your idea to the thread

  • Improve some UI + UX flows (main priority)
  • Add a /assistants/{username} route to see all Assistants for a given user name
  • Being able to change model params for assistants (temperature, repetition penalty, …)
  • Improve assistant creation for beginners (maybe with a step-by-step wizard or an assistant that creates other assistants)
  • Having a better way to test your Assistants during creation/edition
  • Being able to see the current used token count while editing your Assistant
  • Edit your Assistants via API, so you can always push up-to-date information to them.
  • Generate your Thumbnail Assistant via AI
  • Add RAG (and web search) to Assistant?
  • Continually add new models to HuggingChat and Assistants
  • A way to suggest changes on other users Assistants
  • Fork/duplicate Assistants
  • Prompts versioning
  • Allow you to use your own models onto your assistant (longer term)

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Build and publish AI apps and models on the cloud for free

Create and publish AI apps and models to the cloud for free

If you would like to build AI apps and AI models on the cloud you might be interested in a new workflow and system which offers a free package allowing you to test out its features before parting with your hard earned cash. BentoML is a tool that’s making waves by making it easier for developers to take their AI models from the drawing board to real-world use. This framework is fantastic for those looking to deploy a wide variety of AI applications, such as language processing, image recognition, and more, without getting bogged down in the technicalities.

BentoML stands out because it’s designed to be efficient. It helps you move your AI models to a live environment quickly. The framework is built to handle heavy workloads, perform at high speeds, and keep costs down. It supports many different models and frameworks, which means you won’t have to worry about whether your AI application will be compatible with it.

One of the most significant advantages of BentoML is its cloud service. This service takes care of all the technical maintenance for you. It’s especially useful when you need to scale up your AI applications to handle more work. The cloud service adjusts to the workload, so you don’t have to manage the technical infrastructure yourself.

Building AI Apps and Models

Another key feature of BentoML is its support for serverless GPU computing. This is a big deal for AI applications that require a lot of computing power. With serverless GPUs, you can scale up your computing tasks without overspending. This ensures that your applications run smoothly and efficiently, even when they’re doing complex tasks.

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BentoML’s cloud service can handle many different types of AI models. Whether you’re working with text, images, or speech, or even combining different types of data, BentoML has you covered. This flexibility is crucial for deploying AI applications across various industries and use cases.

The interface of BentoML is another highlight. It’s designed to be user-friendly, so you can deploy your AI models without a hassle. You can choose from different deployment options to fit your specific needs. The cloud service also includes monitoring tools, which let you keep an eye on how much CPU and memory your applications are using. This helps you make sure that your applications are running as efficiently as possible.

BentoML is an open-source framework, which means that anyone can look at the source code and contribute to its development. There’s also a lot of documentation available to help you get started and troubleshoot any issues you might run into. Currently, access to BentoML’s cloud version is limited to a waitlist, but those who support the project on Patreon get some extra benefits. This limited access ensures that users get the support and resources they need to make the most of their AI applications.

For those who need something more tailored, BentoML is flexible enough to be customized for specific projects. This means you can tweak the framework to meet the unique demands of your AI applications, ensuring they’re not just up and running but also optimized for your particular needs.

Things to consider when building AI apps

Creating and publishing AI applications and models to the cloud involves several steps, from designing and training your model to deploying and scaling it in a cloud environment. Here are some areas with consideration when building your AI app  or model.

1. Design and Development

Understanding Requirements:

  • Objective: Define the purpose of your AI application. Is it for data analysis, predictive modeling, image processing, or another use case?
  • Data: Determine the data you need. Consider its availability, quality, and the preprocessing steps required.

Model Selection and Training:

  • Algorithm Selection: Choose an appropriate machine learning or deep learning algorithm based on your application’s requirements.
  • Training: Train your model using your dataset. This step may require significant computational resources, especially for large datasets or complex models.

Validation and Testing:

  • Test your model to ensure it meets your accuracy and performance requirements. Consider using a separate validation dataset to prevent overfitting.

2. Preparing for Deployment

Optimization for Production:

  • Model Optimization: Optimize your model for better performance and efficiency. Techniques like quantization, pruning, and model simplification can be helpful.
  • Containerization: Use containerization tools like Docker to bundle your application, dependencies, and environment. This ensures consistency across different deployment environments.

Selecting a Cloud Provider:

  • Evaluate cloud providers (e.g., AWS, Google Cloud, Azure) based on the services they offer, such as managed machine learning services, scalability, cost, and geographic availability.

3. Cloud Deployment

Infrastructure Setup:

  • Compute Resources: Choose between CPUs, GPUs, or TPUs based on your model’s requirements.
  • Storage: Decide on the type of storage needed for your data, considering factors like access speed, scalability, and cost.

Cloud Services and Tools:

  • Managed Services: Leverage managed services for machine learning model deployment, such as AWS SageMaker, Google AI Platform, or Azure Machine Learning.
  • CI/CD Integration: Integrate continuous integration and continuous deployment pipelines to automate testing and deployment processes.

Scaling and Management:

  • Auto-scaling: Configure auto-scaling to adjust the compute resources automatically based on the load.
  • Monitoring and Logging: Implement monitoring and logging to track the application’s performance and troubleshoot issues.

4. Security and Compliance

Data Privacy and Security:

  • Ensure your application complies with data privacy regulations (e.g., GDPR, HIPAA). Implement security measures to protect data and model integrity.

Access Control:

  • Use identity and access management (IAM) services to control access to your AI application and data securely.

5. Maintenance and Optimization

Continuous Monitoring:

  • Regularly monitor your application for any performance issues or anomalies. Use cloud monitoring tools to get insights into usage patterns and potential bottlenecks.

Updating and Iteration:

  • Continuously improve and update your AI model and application based on user feedback and new data.

Cost Management:

  • Keep an eye on cloud resource usage and costs. Use cost management tools provided by cloud providers to optimize spending.

Considerations

  • Performance vs. Cost: Balancing the performance of your AI applications with the cost of cloud resources is crucial. Opt for the right mix of compute options and managed services.
  • Latency: For real-time applications, consider the latency introduced by cloud deployment. Select cloud regions close to your users to minimize latency.
  • Scalability: Plan for scalability from the start. Cloud environments make it easier to scale, but efficient scaling requires thoughtful architecture and resource management.

BentoML is proving to be an indispensable tool for anyone looking to deploy AI applications in the cloud. Its ability to support rapid deployment, handle scalability, and cater to a wide range of AI model types makes it a valuable asset. The user-friendly interface and robust monitoring tools add to its appeal. Whether you’re a seasoned AI expert or just starting out, BentoML provides the infrastructure and flexibility needed to bring your AI models into the spotlight of technological progress.

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How to use Google Gemini Ultra 1.0 (free 2 month trial available)

How to use Google Gemini Ultra

Google has recently made a significant stride in the field of artificial intelligence with the introduction of Gemini Ultra, an AI model that surpasses and now replaces its previous version, Google Bard. This new model is a part of the Gemini suite and is being hailed for its exceptional performance, particularly when compared to OpenAI’s GPT-4, in carrying out complex tasks. Although it’s still early days to see just how good Google Gemini is across all areas.

Google’s latest AI model Google Gemini,  is a significant step forward in AI technology. This system, also known as Gemini Advanced is equipped with the Ultra 1.0 AI model. In a similar way to how Microsoft Copilot is equipped with the GPT-4 AI model. Google Gemini Advanced which utilises the Ultra AI model is now available for users to explore with a two-month free trial, and it comes with an additional 2TB of Google Drive storage.

Gemini Ultra has already been put through rigorous testing, and the results are quite impressive. It’s faster than GPT-4, which is a significant advantage for users who need quick responses. Moreover, it offers unlimited messaging, which is great news for those who use chatbots extensively. However, Gemini Ultra isn’t without its flaws. There are times when it needs more information to complete tasks correctly, which could slow you down a bit.

One of the standout features of Gemini Ultra is its ability to work with Google applications such as YouTube and Google Maps. It can quickly find YouTube videos for you, although it sometimes pulls up videos that are out of date. When it comes to Google Maps, it can give you travel time estimates, but they’re not always accurate, so you might want to double-check them. Google will also soon be making it available in Gmail, Docs, and more.

Using Google Gemini Ultra 1.0

Google explains more about its new Google Gemini Ultra

Gemini Advanced is far more capable at reasoning, following instructions, coding, and creative inspiration. We can’t wait to see what you create. Bard is now Gemini

  • What: Gemini is the best way to get direct access to Google AI. All the collaborative capabilities you know and love are still here, and will keep getting better in the Gemini era. We’ve also evolved the UI to reduce visual distractions, improve legibility, and simplify the navigation.
  • Why: We’re committed to giving everyone direct access to Google AI and, as of this week, every Gemini user across our supported countries and languages has access to Google’s best family of AI models. To better reflect this commitment, we’ve renamed Bard to Gemini.

Try Gemini Advanced to access Google’s most capable AI model, Ultra 1.0

  • What: Gemini Advanced gives you access to our most capable AI model, Ultra 1.0. If you want to be one of the first to access Google’s latest AI advancements as they become available, this is for you. With our Ultra 1.0 model, Gemini Advanced is far more capable at highly complex tasks like coding, logical reasoning, following nuanced instructions, and creative collaboration.
  • Plus, Gemini Advanced will continue to expand with new and exclusive features in the coming months, including expanded multi-modal capabilities, even better coding features, as well as the ability to upload and more deeply analyze files, documents, data, and more. Gemini Advanced is a paid plan available in over 150 countries and territories. It is available and optimized only for English with our Ultra 1.0 model, but can respond to queries in other languages that Gemini is available in.
  • Why: With Gemini Advanced, you can be one of the first to try our most capable AI model, Ultra 1.0. We’re just getting started and Gemini Advanced will continue to get even better. We invite you to join us on this journey. Upgrade to Gemini Advanced.

Chat to supercharge your ideas in the Gemini app

  • What: Get help learning in new ways, writing thank you notes, planning events, and more with Google AI on your phone. Gemini is integrated with Google apps like Gmail, Maps, and YouTube, making it easy to get things done on your phone. You can interact with it through text, voice or images.

    To chat with Gemini on Android, download the Gemini app in the Google Play Store. On iOS, try Gemini in the Google app.

    The Gemini app will be launching on select devices in English in the US. In the coming days, it will be available in Japanese, Korean, and English globally except for the UK, Switzerland, European Economic Area countries, and associated territories. More countries and languages will be coming soon.

  • Why: This is a step towards our vision to deliver the world’s most helpful AI assistant.

Now available in Canada

  • What: You can now collaborate with Gemini on the web in Canada in all supported languagesOpens in a new window, including English and French. The Gemini app is coming soon, starting with English.
  • Why: As we continue to build Gemini responsibly, we’re expanding access to more countries and regions.

When we consider the cost, Gemini Ultra seems to offer a good deal. It comes with a two-month free trial, which gives you plenty of time to decide if it’s right for you. The subscription price is on par with GPT-4, but Gemini Ultra includes some extra benefits like Google One Premium. This could be a deciding factor for those looking for more bang for their buck.

Gemini Ultra also shows potential in more specialized areas like solving complex math problems and analyzing images. While it’s not perfect and does make mistakes from time to time, these features are promising and suggest that with a bit more development, Gemini Ultra could become a very powerful tool.

However, there are some concerns, especially when it comes to educational use. Gemini Ultra has the ability to get around content restrictions, which could be problematic in a classroom setting. Educators should be vigilant and supervise its use to ensure the content remains appropriate and accurate for students.

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Performance in Understanding and Generating Text

  • Gemini Ultra 1.0:
    • Excels in speed and efficiency.
    • High accuracy in reasoning and creative problem-solving.
    • Demonstrates versatility in technical tasks, such as generating Python code.
  • GPT-4:
    • Offers detailed and nuanced explanations.
    • Engages effectively in complex reasoning tasks.
    • Sophisticated understanding of context and language nuances.

Special Features and Applications

  • Gemini Ultra 1.0:
    • Integration within Google’s ecosystem (Gmail, Docs, Sheets, Slides).
    • Advanced capabilities in both code generation and creative tasks.
    • Part of the Google One AI Premium plan, offering AI tools with cloud storage.
  • GPT-4:
    • Robust in creating interactive experiences, such as text-based games.
    • Capable of producing comprehensive documentation and guides.
    • Flexibility for integration across a wide range of applications via OpenAI’s API.

Usability and Integration

  • Gemini Ultra 1.0:
    • Aimed at users seeking an all-in-one solution combining AI with cloud storage and productivity tools.
    • Offers a premium plan that includes additional storage.
  • GPT-4:
    • Benefits from OpenAI’s API for easier integration across platforms.
    • Suitable for developers and businesses looking to embed AI functionalities.

Limitations and Areas for Improvement

  • Gemini Ultra 1.0:
    • Inconsistencies in interpretation and narrative generation tasks.
    • Initially relied too much on Python code for reasoning, leading to errors.
  • GPT-4:
    • Struggled with incorporating images correctly in PDF generation due to format issues.
    • Demonstrated potential in comprehensive content creation beyond text.

Summary

  • Gemini Ultra 1.0 emphasizes speed, integration with Google’s services, and efficiency, making it a practical choice for users in the Google ecosystem.
  • GPT-4 showcases depth, versatility, and detailed content generation, offering robust functionalities for developers and content creators.
  • The choice between the two depends on user priorities: integration and speed with Gemini Ultra or depth and flexibility with GPT-4.
  • Both models are evolving, promising enhancements in AI-driven applications.

Future updates for Google Gemini

Google isn’t resting on its laurels with Gemini Ultra. They’re planning to roll out improvements, including the integration of Alpha Code 2 and other technologies that could enhance its coding and geometric problem-solving abilities. These updates are definitely something to watch out for, as they could significantly improve what Gemini Ultra can do.

The AI market is heating up, and Gemini Ultra is Google’s way of keeping up with the competition. With researchers branching out into new startups, the race for innovation is fierce. The progress of Gemini Ultra will be an interesting aspect of this dynamic industry.

When we put Gemini Ultra and GPT-4 head-to-head, it’s clear that Gemini Ultra has some unique selling points, like its speed and the unlimited messaging option. However, GPT-4 still outshines it in some areas. Gemini Ultra is catching up, but it hasn’t quite reached the level of GPT-4 in every aspect.

Gemini Ultra is an new AI tool with notable strengths in response time and its pricing structure, but it’s not without areas that need work. As with any technology that’s still developing, whether it’s the right choice for you will depend on your specific needs. It’s worth keeping an eye on the updates that are on the horizon for Gemini Ultra. These improvements could give it the extra capabilities it needs to outdo its rivals in the AI space.

 

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Learn about generative AI for free with the Alan Turing Institute

Generative AI explained by the Alan Turing Institute

If you would like to learn more about the field of generative artificial intelligence (AI) that is rapidly transforming how we interact with technology. This area of study, which focuses on the creation of new content such as text, images, and audio from existing data, is becoming increasingly relevant in our daily lives. Technologies like ChatGPT and DallE 3 are prime examples of how generative AI can innovate and automate tasks, showcasing its ability to influence our digital experiences.

Generative AI has been around for a while, subtly shaping the way we use technology. Early versions of AI, like Google Translate and Siri, have set the stage for more advanced systems such as GPT-4. These technologies have evolved from simple automated responses to generating complex, human-like text and realistic images, making them more and more a part of our everyday digital interactions.

At its core, generative AI works by mimicking the human brain through language modeling and neural networks. This allows the AI to learn from vast amounts of data on the web, recognizing patterns and associations that enable it to produce content that is both relevant and engaging. However, creating a generative AI model is just the first step. Fine-tuning these models is crucial to ensure that they can perform specific tasks accurately and reliably.

What is generative AI?

One of the most remarkable aspects of generative AI is its ability to improve itself through self-supervised learning. This means that the AI can analyze additional data, identify its own errors, and correct them without human intervention, much like how we learn from our own experiences.

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As AI models become larger and more complex, they can produce outputs that are increasingly nuanced and sophisticated. But scaling up these models comes with its own set of challenges, such as managing the computational demands and the potential for errors that can arise.

Generative AI is not without its flaws. Issues such as bias, misinformation, and the generation of irrelevant or nonsensical content—sometimes referred to as “hallucinations”—can lead to distorted outputs that may be unreliable or even harmful. Addressing these challenges is essential for the ethical use of AI.

The impact of generative AI extends beyond the technology itself. There are environmental considerations to take into account, as well as the potential effects on job markets. As AI becomes more prevalent in society, it’s important to ensure that its development aligns with societal values and ethical practices.

Looking ahead, the future of generative AI is likely to involve more efficient system architectures and the need for careful regulation. Despite its progress, AI still faces difficulties in understanding the physical world and human emotions, which highlights the importance of ongoing research and development.

The recent Turing Institute lecture stressed the importance of human involvement in guiding the evolution of AI. As AI continues to advance, it’s crucial to ensure that it serves beneficial purposes, reduces biases, and reflects societal values.

Generative AI is a powerful tool that has the potential to reshape various industries. Understanding its capabilities, limitations, and impact on society is key to harnessing its power responsibly. As we look to the future, it’s clear that generative AI will continue to play a significant role in how we interact with technology, and it’s up to us to steer its development in a direction that benefits everyone.

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20+ Free AI tools and phone apps for Android and iOS

20+ Phone apps and AI tools that are completely free

Matt Wolfe  has put together a list of over 20 phone applications that feature artificial intelligence (AI) and the best thing is that all the AI tools are completely free to use. Artificial intelligence (AI) has become a key player in enhancing our daily lives. Now, this cutting-edge technology is readily accessible through a variety of free mobile apps for both iOS and Android devices. These apps are not just for tech enthusiasts; they’re for anyone looking to make their life easier, more productive, and more creative. From improving communication to streamlining your workflow, there’s an AI app that can help you with your tasks.

Imagine having a conversation with an AI chatbot that responds with the intelligence and warmth of a human. Apps like Chat GPT and Pi chatbot offer this experience, making it feel like you’re talking to a friend who can also search the web for information during your conversation. This can be incredibly useful for those who need quick answers without the hassle of typing out search queries.

Free AI Phone apps

For those who spend a lot of time researching, AI can be a game-changer. An app called Perplexity, for example, goes beyond just finding information—it suggests related topics, which can help you dive deeper into your research without getting lost in a sea of irrelevant data.

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Have you ever wanted to interact with your favorite fictional characters? Now you can. Character AI allows you to have conversations with characters as if they were real, providing a unique form of entertainment and engagement. Students and learners can also benefit from AI apps. Socratic by Google uses photo recognition to help solve problems, while AI Writer offers templates to help with writing tasks. These tools can save time and help users better understand complex subjects.

Language learning is another area where AI can make a significant impact. Elsa Speak, for instance, offers daily English lessons that focus on pronunciation, helping users communicate more effectively. Professionals who attend a lot of meetings might find Otter to be a lifesaver. This app records meetings, transcribes them, and provides summaries. It even allows users to ask questions about the recorded content, ensuring nothing important is missed.

For the creatively inclined, there are AI tools and apps that can transform the way you create art and videos. Dream, Starry AI, Photoleap, Videoleap, and Motionleap use AI to produce stunning art, video effects, and animations that can take your projects to the next level. If you enjoy photography, apps like Pixa Motion and Colourpop can add life to your images by animating them or adding color to black and white photos. This can make your visual content stand out and capture the attention of your audience.

Podcasters and music enthusiasts will appreciate Dolby On, which improves audio recordings by enhancing clarity. Gradient Music, on the other hand, creates personalized music playlists using AI, tailoring the listening experience to your tastes. For those interested in 3D modeling, Luma uses neural radiance fields (Nerfs) to create 3D models from photographs, adding a new dimension to your visual presentations.

Lastly, organizing information can be a daunting task, but AI can help with that too. Arc Search brings together information from various sources onto a single page, while My Mind offers a content archiving system that uses AI to generate summaries and tags, making it easier to find information later.

While these AI tools  are free to use, some offer optional paid upgrades for those who want even more features. However, the core functions of these apps are available at no cost, allowing you to take advantage of AI without spending a dime. As AI technology continues to advance, we can expect to see new updates and versions of these apps that will further enhance our mobile experience.

These 20+ artificial intelligence enabled mobile apps and AI tools provide you with a range of tools to manage your daily activities, learn new things, express your creativity and improve your productivity. By harnessing the potential of AI, you can make the most of your mobile device and stay ahead in the digital world. Whether you’re a student, professional, artist, or just someone who loves technology, these AI apps can help you achieve more with less effort. So why not explore what AI has to offer and see how it can transform your mobile experience? We highly recommend checking out all videos from AI enthusiast Matt Wolfe.

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Microsoft Copilot Free vs Pro what are the differences?

Microsoft Copilot Free vs Pro

Recently Microsoft introduced an AI assistant named Microsoft Copilot, which is designed to meet these needs. This innovative tool comes in two versions: a free version and a subscription-based Pro version. Understanding the differences between these two can help you decide which one aligns with your requirements.

The free version of Microsoft Copilot is a great starting point for those new to AI assistance. It offers basic features that allow users to ask questions, generate content, and brainstorm ideas with ease. Unlike ChatGPT, Copilot is web-based, which means it can provide information that is more current. Microsoft prioritizes data security, especially for business users, ensuring that your interactions with the AI are kept private and not recorded.

Additionally, the free version includes creative plugins, such as a song composition tool, and offers a personalized experience by allowing users to select conversation styles. These styles are color-coded, making it easy to choose the appropriate tone for your interactions.

Copilot Free vs Copilot Pro which is the best fit for you?

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For those with more demanding needs, the Pro version, which utilizes the more advanced GPT-4, offers superior AI capabilities. At $20 per month, the Pro version boasts enhanced precision, better memory retention, and sophisticated analytical skills, including the ability to analyze images. It is designed to work seamlessly with Office 365 applications like Outlook, PowerPoint, Excel, Word, and OneNote, enabling users to perform a variety of tasks within these familiar platforms.

One of the key features of the Pro version is the ability to customize the tone and length of your communications to match your audience. In Microsoft Word, the real-time drafting feature provides suggestions as you type, transforming the writing process. Excel users will appreciate the added functionalities such as formula columns, highlighting, sorting, filtering, and data analysis, although some features may still be under development. It is important to note that Copilot is not yet available for individual users in Microsoft Teams, which remains a business-focused tool.

Summary highlighting the differences between Microsoft Copilot Free vs Copilot Pro:

  • Microsoft Copilot Free:
    • General Availability: Accessible to everyone without cost.
    • Access Platforms: Available on the web, mobile, Windows, macOS, and iPadOS.
    • GPT Version (Non-Peak Times): Access to GPT-4 and GPT-4 Turbo during non-peak times.
    • Foundational Capabilities: Similar to ChatGPT’s free version for asking questions, creating content, and generating ideas.
    • Web Integration: Provides live, up-to-date information from the internet.
    • Data Protection: Promises not to save prompts, answers, or questions, ensuring user data privacy.
    • Multimodal Conversational Search: Capabilities to utilize text, voice, and images in searches.
    • AI Image Creation: Create AI images with 15 boosts per day using Designer.
    • Plugin Support: Includes various plugins for enhanced functionality.

    Microsoft Copilot Pro:

    • Pricing: Subscription-based, costing $20 USD per month.
    • Includes Free Version Features: Contains all the functionalities of the free version.
    • Priority Access: Guaranteed access to GPT-4 and GPT-4 Turbo at all times, including peak periods.
    • Advanced Office 365 Integration: Integrated with Office 365 apps for drafting documents, emails, presentations, etc.
    • Enhanced AI Image Creation: Create AI images with DALL-E 3 in landscape format with 100 boosts per day using Designer (formerly Bing Image Creator).
    • Upgraded GPT Version: Utilizes GPT-4 for more accurate and comprehensive performance.
    • Assistive Features in Office Apps: Offers advanced features in Outlook, PowerPoint, Excel, Word, and OneNote.
    • No Microsoft Teams Integration for Personal Users: Not available in Microsoft Teams for personal use.

When choosing between the free and Pro versions of Microsoft Copilot, consider your specific needs. If you require basic AI support with a focus on data privacy and do not need deep integration with Office 365 apps, the free version could be sufficient. However, if you are looking for advanced AI features, immediate assistance, and comprehensive integration with Office 365 applications, the Pro version may be the better option for you.

Microsoft Copilot offers two distinct choices to accommodate different user preferences. The free version provides a solid base for those new to AI or with basic needs, while the Pro version is aimed at users who demand the most advanced AI tools to enhance their productivity and simplify their workflow. Select the version that best fits your individual needs and explore how Microsoft Copilot can transform your professional life.

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Run CodeLlama 70B locally for free for AI coding

Run CodeLlama 70B locally for free for AI coding

Meta AI has recently introduced a new coding language model known as CodeLlama 70B, which is making significant strides in the way developers write and understand code. This advanced tool has achieved an impressive score on the HumanEval benchmark, indicating its high level of performance in code synthesis and comprehension. For developers looking to streamline their coding process, CodeLlama 70B is emerging as an essential resource and offers users a large language model that can use text prompts to generate and discuss code.

Code Llama is a family of state-of-the-art, open-access versions of Llama 2 specialized on code tasks. Code Llama has been released with the same permissive community license as Llama 2 and is available for commercial use and is available in 7B, 13B,  34B and 70B model sizes over on GitHub.

The core strength of CodeLlama 70B lies in its ability to generate code that is both contextually accurate and coherent. This is made possible by its autoregressive mechanism and an optimized Transformer architecture, which are at the forefront of natural language processing technology. The model’s sophisticated design allows it to understand and produce code in a way that closely mirrors human coding practices.

Installing CodeLlama to run on your local PC

What sets CodeLlama 70B apart from other coding tools is its adaptability to various coding requirements. The model comes in three distinct versions, each designed to cater to different developer needs. The base model, CodeLlama, is skilled in general code generation and understanding. For those who specialize in Python, CodeLlama Python is fine-tuned to enhance coding in that language. Lastly, CodeLlama Instruct is tailored for tasks that demand strict adherence to instructions and a focus on secure coding.

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In terms of handling complex and lengthy code, CodeLlama 70B is well-equipped. During its fine-tuning process, the model has been trained to manage up to 16,000 tokens and can support up to 100,000 tokens during inference. This allows it to efficiently process large blocks of code. Additionally, the model’s substantial parameter size gives it the flexibility to work with a variety of programming languages, further extending its utility to developers.

Ease of access and installation is another advantage of CodeLlama 70B. The model can be easily installed through LM Studio, which facilitates the local execution of large, open-source language models. For those who prefer online platforms, CodeLlama 70B is also available on Hugging Face, a repository known for its extensive range of pre-trained models. This dual availability ensures that developers can quickly incorporate CodeLlama 70B into their existing workflows, without significant downtime.

Meta AI’s CodeLlama 70B is a sophisticated coding language model that is poised to enhance the capabilities of developers across the board. It offers a range of solutions tailored to different programming needs, from general code generation to specialized Python development and secure coding. You can learn more about Code Llama from the research paper which is available.

With its user-friendly installation options and robust support for handling large code blocks, CodeLlama 70B stands out as a valuable addition to the developer’s toolkit. As the field of coding continues to evolve, tools like CodeLlama 70B are playing a crucial role in shaping the future of software development. If you’d like to request access to the next version of Llama jump over to the official Meta AI website where you can register your details.

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