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Ai Pin by Humane – your new wearable AI assistant

Humane Ai Pin all day artificial intelligent assistant

The new and soon-to-be-released AI Pin by Humane offers users a world where your voice and gestures are the keys to unlocking a seamless digital experience. A team of developers, who once worked at Apple, have designed a new wearable AI system that promises to make this vision a reality. This innovative Ai Pin by Humane is designed to be your constant digital companion, responding to your spoken words and subtle movements, breaking down language barriers, and even keeping track of your diet.

At the heart of this new AI Pin by Humane technology is a voice-activated AI device that’s about to change the way you interact with the digital world. The creators, with their rich history in Silicon Valley, have not just built a gadget but have taken a significant step towards a more intuitive future. They’ve focused on making the device user-friendly, aiming to simplify your life by integrating various applications and reducing your reliance on your smartphone. The Pin by Humane price will be $699 with a $24 monthly subscription.

Humane Ai Pin

The way you control this device is what sets it apart. You can speak to it, and it listens, or you can gesture, and it responds. This hands-free interaction is the cornerstone of the wearable AI, offering you the convenience of operating it without ever needing to touch a screen. The voice command feature is designed for ease of use, while the gesture-based control adds a layer of accessibility that’s hard to find in current technology.

Wearable AI assistant

One of the standout features of the AI Pin by Humane is its ability to translate languages in real-time. Imagine having a conversation with someone who speaks a different language, and there’s no awkward pause, no reaching for a phone to type into a translation app. This device aims to make such interactions fluid and natural. At the same time, it’s like having a personal nutritionist with you at all times, monitoring your eating habits and offering advice on healthier choices.

The impact of this device extends to how you shop online. With simple voice commands or gestures, you can browse and purchase items from around the world. This convenience is impressive, but it also raises questions about the effect on local businesses. As international shopping becomes easier, what happens to the small shops and retailers in your neighborhood? You might be curious about the technology that powers this wearable AI. It’s rumored to run on a custom operating system, crafted specifically to bring out the best in its unique features. As for the price, it’s expected to be in the range of $700-$800, positioning it as a premium product in the wearable tech market.

Humane Ai wearable

Looking ahead, the potential for AI integration into eyewear is immense. The idea of AI-enabled contact lenses and glasses could change how you see the world, both literally and figuratively. This wearable AI system is just the beginning, paving the way for future innovations that could become as common as the smartphone in your pocket. As you consider how this device could fit into your daily life, weighing the benefits against any concerns, the conversation around wearable AI technology is growing. There’s a series of discussions on the horizon that will delve into the nuances and future directions of wearable AI.

Why the Humane Ai Pin might not work

The wearable AI system created by the former Apple team is a bridge between convenience and advanced technology. It invites you to reimagine your interaction with the digital world, signaling a future where your voice and movements open up a personalized digital experience. Like any pioneering technology, it brings with it a range of questions and possibilities that will shape the debate on AI’s role in our everyday lives.

This new wearable AI Pin by Humane is more than just a gadget; it’s a testament to the ingenuity of its creators and a hint at the potential of technology to enhance our lives in ways we’re just beginning to explore. Whether it’s making international communication effortless or helping you make healthier food choices, this device is poised to become an integral part of your life. And as we stand on the brink of this technological evolution, it’s clear that the way we interact with our devices and the world around us is about to change in profound ways.

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Building a personalized AI assistant using ChatGPT and FlutterFlow

Building a personalized AI assistant using ChatGPT and FlutterFlowVenturing into the realm of artificial intelligence can be a somewhat daunting yet thrilling experience, particularly when it involves the creation of a personalized AI assistants, that can help you manage your mundane daily tasks. OpenAI’s latest offerings provide a powerful platform that allows you to tailor an AI assistant to meet your specific needs. This guide will take you through the entire process using the OpenAI Assistant API and the  online building platform that allows you to create amazing user interfaces FlutterFlow.

OpenAI has introduced an advanced assistant capability that facilitates the creation of a custom AI assistant. This assistant can be trained using documents to become an expert in a particular field of knowledge. For instance, if you want your AI to become adept at understanding the complexities of compliant property development, you could train it using detailed guidelines from the Department of Planning and Environment for example.

Although you can use any data files you may have making it completely personalized to your exact requirements and capable of answering questions with that knowledge. For instance if you had a 500 page document that you didn’t have time to read you could  upload it to your personalized AI assistant and they would be able to answer your queries using the data from the document.

How to build your own personalized AI assistant

The foundation of building your AI assistant lies in document-based training. By choosing a relevant document, such as an exhaustive 141-page guideline, you can educate your AI. This training enables the assistant to answer questions with confidence based on the document’s content, making it a specialized resource of knowledge. The tutorial kindly created by Steven Liu takes you through everything step-by-step from the initial setup to the intricate details of user interface design, to ensure you develop an AI assistant that understands your questions and provides accurate and helpful responses.

Other articles we have written that you may find of interest on the subject of building AI personal assistants using ChatGPT and other AI tools :

The first step is to set up your assistant on the OpenAI platform. This involves creating an account, selecting the appropriate AI model, and defining the scope of knowledge your assistant will have. After this, you’ll upload the training document to the platform, which the AI will analyze to fully understand the subject matter.

Once the training is complete, the next step is to integrate your AI assistant into a chat system. This is done by configuring the APIs that will connect your assistant with users. You’ll establish threads, messages, and runs to enable user interactions. The system will then retrieve and display the assistant’s responses to user queries.

A crucial element of your chat system is a user-friendly interface. You’ll design a chat view with a message box and input field, making it easy for users to ask questions. To enhance the user experience, you’ll add a chat history to record interactions and include loading indicators to manage the sequence of API calls.

Documenting every conversation between the user and the AI assistant is essential. This data is important for improving response retrieval, as it allows the system to better its answers by learning from past interactions. It’s critical to ensure that your AI assistant provides accurate responses to a wide range of questions. This will likely involve multiple rounds of testing and tweaking the AI’s responses, guided by the training document.

Learn more about FlutterFlow 4.0

For those of you that have not come across FlutterFlow is a low-code platform designed for building mobile applications. It leverages Google’s Flutter framework, which is a popular open-source UI software development kit used for developing cross-platform applications from a single codebase. This means that developers can use FlutterFlow to create apps that are compatible with both iOS and Android platforms.

The primary appeal of FlutterFlow lies in its user-friendly interface and drag-and-drop functionality, which simplifies the app development process. It allows developers, including those with limited coding experience, to design and customize the UI of their apps visually. FlutterFlow also provides a range of pre-built widgets and features, which can be easily integrated into applications.

Another key aspect is its ability to connect with Firebase, a platform developed by Google for creating mobile and web applications, which offers functionalities like analytics, databases, messaging, and crash reporting.

FlutterFlow stands out for its ease of use and the speed with which it allows users to develop functional, visually appealing mobile applications. It’s particularly useful for prototyping, small projects, or for developers who prefer a more visual approach to app development. However, for more complex applications requiring custom functionalities, traditional coding might still be necessary.

Enhancing your AI assistant

To expand your AI assistant’s knowledge base, you can train it with additional documents, up to 20, allowing it to cover more topics. A feedback loop can be implemented to allow users to provide their input on the assistant’s performance, offering valuable insights that can be used to further enhance its accuracy and usefulness.

Lastly, you might think about introducing a subscription service to keep users engaged and informed about new features and improvements to your AI assistant. This service can also serve as a way to gather ongoing user feedback and provide support and updates.

Developing a custom AI assistant with OpenAI’s new features is a detailed process that requires careful planning, thorough training, and smooth integration. By following the steps outlined in this guide, you can create a specialized AI assistant that becomes a vital tool in your area of interest. It’s important to conduct extensive testing, seek user feedback, and stay updated with AI advancements to ensure your assistant remains cutting-edge.

Image Source : FlutterFlow

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Building automated GPT virtual assistant workflows using Zapier

Building automated GPT virtual assistant workflows using Zapier

Would you like to take your business to the next level where it operates with a new kind of efficiency; where artificial intelligence (AI) is not just a buzzword but a practical tool at your fingertips? Generative Pre-trained Transformers (GPTs) are at the forefront of this shift, offering a way to enhance productivity and streamline task management in ways previously unimagined. These AI-driven virtual assistants are not only reshaping how we think about work but are doing so in a way that’s accessible to everyone, regardless of their technical background.

GPTs are customizable advanced AI models that have the remarkable ability to understand and generate text that feels like it’s coming from a human. They can manage a variety of tasks that are crucial to the smooth running of any business. Imagine having an assistant that can sort through your emails, schedule your meetings, draft reports, and even respond to customer inquiries—all without a coffee break. The adaptability and learning prowess of these AI assistants make them invaluable assets in today’s fast-paced business environment.

How to make automated GPT assistants

But for GPTs to truly shine, they need to work seamlessly with the software systems you already have in place. This is where tools like Zapier come into play. Zapier acts as a bridge, allowing your GPT virtual assistant to connect with a vast array of over 6,000 apps. This means that no matter what software you’re using, your virtual assistant can become a part of it, ensuring that your workflows are smooth and your communication is consistent across all platforms. This integration is key to creating a cohesive environment where your virtual assistant can operate at peak performance.

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One of the most exciting developments in the world of AI is the emergence of no-code platforms. These platforms are democratizing the development of AI applications, making it possible for people without any coding experience to build and refine their virtual assistants. This no-code movement simplifies the process of creating a GPT assistant, allowing you to tailor it to your specific business needs, whether that’s managing tasks or handling frequent queries.

Virtual assistants

Think of a business assistant that does more than just keep your schedule in check. With GPTs, you can easily build multiple virtual assistants that supports customer service, boosts sales, and enhances internal communication. Such a versatile assistant can take on a wide range of tasks, elevating your productivity and freeing up your time to focus on the bigger picture. This AI-enhanced team member is equipped to handle the complexities of daily business operations, becoming an indispensable part of your workforce.

Setting up your GPT assistant is a straightforward process. Begin by identifying the tasks you want to automate and the applications you use most often. Use Zapier to establish connections that enable your GPT assistant to work with these apps. You can then customize the assistant’s communication style and functionality to align with your business’s culture and objectives. With each customization, your virtual assistant becomes more attuned to the specific needs of your operation.

Automated businesses

The integration of GPTs into your business goes beyond simple automation. It’s about refining your processes to achieve maximum efficiency. By entrusting routine tasks to your virtual assistant, you reduce the likelihood of human error, save valuable time, and optimize the use of your resources. Leveraging GPTs for strategic task management can lead to significant improvements in the effectiveness of your business operations.

It’s important to recognize that many GPT applications are still in the early stages of development, often referred to as alpha or beta phases. While they are operational, they offer a glimpse into the future potential of AI in business, signaling continuous improvement and enhancement. As GPT technology evolves, we can expect to see advancements in accuracy, user interaction, and integration capabilities, solidifying the role of GPTs in the business landscape.

Adding GPTs into your business workflow

Integrating GPT virtual assistants into your business operations marks a significant step toward a future characterized by enhanced efficiency, customization, and manageability. By embracing the no-code movement and utilizing platforms like Zapier, you can harness the full power of AI without needing deep technical expertise. As GPT technology continues to advance, the opportunities for innovation and the refinement of business processes and task management seem boundless. Here are just a few areas you can consider :

  1. Customer Service Automation:
    • Chatbots for 24/7 customer support.
    • AI-powered helpdesks for instant query resolution.
    • Automated responses to frequently asked questions.
  2. Content Creation and Management:
    • Generating product descriptions and marketing content.
    • Automating social media posts and responses.
    • Creating personalized email campaigns.
  3. Data Analysis and Reporting:
    • Processing and interpreting large datasets.
    • Generating automated business reports.
    • Providing insights from customer feedback and market trends.
  4. Process Automation:
    • Streamlining routine administrative tasks.
    • Automating invoice processing and data entry.
    • Enhancing workflow management through predictive analysis.
  5. Personalized User Experiences:
    • Tailoring website content to individual user preferences.
    • Providing product recommendations based on user behavior.
    • Enhancing user engagement through interactive AI tools.
  6. Language Translation Services:
    • Offering real-time translation for global customer communication.
    • Localizing content for different markets.
    • Facilitating multilingual customer support.
  7. Training and Education:
    • Creating training modules for employees.
    • Automating onboarding processes for new hires.
    • Providing educational resources for continuous learning.
  8. Market Research and Analysis:
    • Conducting sentiment analysis on social media and other platforms.
    • Identifying market trends and consumer preferences.
    • Generating competitive analysis reports.
  9. Fraud Detection and Risk Management:
    • Monitoring transactions for unusual activity.
    • Predicting and mitigating potential risks.
    • Ensuring compliance with regulatory standards.
  10. Inventory and Supply Chain Management:
    • Optimizing inventory levels based on predictive analysis.
    • Automating supply chain logistics.
    • Forecasting demand to prevent overstocking or stockouts.

The journey into the era of AI-enhanced productivity is not a distant dream—it’s a reality that’s unfolding right now. Businesses that adopt GPT virtual assistants are positioning themselves at the forefront of this exciting transformation. With the right tools and a willingness to embrace new technologies, the potential to reshape the way we work and achieve greater productivity is within reach. The future of business is here, and it’s powered by AI that’s smart, adaptable, and ready to work for you.

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How to add an AI Assistant to your website using Voiceflow

How to add an AI Assistant to your website using Voiceflow

If you are looking for ways to integrate the new OpenAI GPT custom AI models into your existing website you might be interested to know that there are a number of ways you can do this. One is using the Voiceflow AI agent creation platform, which has been specifically designed to help conversational AI teams design, test, and manage AI agents for any use case or channel – at scale.

With huge anticipation about the launch of the new OpenAI GPT Store, the new GPT Builder and the OpenAI Assistant API. A powerful tool for creating and managing AI assistants enabling developers to build projects that can utilize a range of AI assistants, each with their own unique skills and specializations. Now is never been a better time to start integrating AI into your existing websites to increase sales, provide customer support and more.

The Assistant API provides an interface for software interaction, giving developers the means to create, execute, and retrieve threads and messages in a streamlined and efficient manner. When combined with Voiceflow, which has been specifically designed for developing voice assistants you can easily integrate AI assistance into your website. Or create more dynamic and interactive AI assistants. Check out the video below for a a detailed guide on how to combine these technologies. Learning the process of building a project using the OpenAI Assistants API, from creating a thread to retrieving a message.

How to add an AI Assistant to your website

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Why add and AI assistant to your website?

Integrating an AI model into an existing website can be beneficial for several reasons here are just a few :

  • Improved User Experience: AI enhances the user experience in various ways. For instance, machine learning algorithms can analyze past user interactions to tailor future content, product suggestions, and services to individual users. This personalization leads to a more relevant and engaging user experience. Users are more likely to find what they’re looking for quickly and discover new products or content that aligns with their interests.
  • Efficient Customer Service: AI-powered chatbots and virtual assistants can handle a wide range of customer service tasks, from answering frequently asked questions to guiding users through transactions or troubleshooting. These tools are available 24/7, providing instant support that improves customer satisfaction. They can handle multiple interactions simultaneously, ensuring efficient service even during peak times.
  • Enhanced Analytics and Insights: AI tools can collect and analyze data from various sources, including user behavior on the website, social media interactions, and market trends. This data can reveal insights into customer preferences, behavior patterns, and potential areas for improvement. Businesses can use these insights to optimize their website design, tailor their marketing strategies, and create more effective content.
  • Increased Sales and Conversion Rates: Personalization and improved user experience directly impact sales and conversion rates. AI-driven product recommendations, personalized email marketing, and targeted content can significantly increase the likelihood of conversions. By presenting users with options that are more aligned with their interests and needs, AI can effectively guide them through the sales funnel.
  • Cost Efficiency: Automating routine tasks with AI reduces the need for human intervention in repetitive and time-consuming tasks. This automation can lead to significant cost savings, as AI can handle large volumes of interactions without requiring additional staff. Moreover, AI systems can often operate more efficiently and make fewer errors than humans in these tasks.
  • Search Engine Optimization (SEO): AI can analyze search trends and optimize website content for better search engine rankings. This includes suggesting keywords, optimizing meta tags, and improving content relevance. Better SEO leads to higher visibility on search engines, attracting more organic traffic to the website.
  • Content Creation and Management: AI can assist in content creation by suggesting topics, generating drafts, and optimizing content for specific audiences. It can also help manage content by organizing and scheduling posts, and analyzing the performance of different content types. This ensures that the website remains up-to-date with relevant and engaging content.
  • Predictive Analysis: By analyzing past data and identifying patterns, AI can predict future trends and customer behaviors. This allows businesses to anticipate market changes, adjust their strategies proactively, and stay ahead of competitors. Predictive analysis can be used in inventory management, content creation, marketing strategies, and more.

Voiceflow AI model creation platform

Voiceflow is well-positioned to play a key role in this future vision. As a platform dedicated to voice assistant development, it provides the necessary tools and infrastructure to create and manage multiple AI assistants. It also offers a custom interface for designing user-specific software interactions, allowing developers to tailor the user experience to meet specific needs and preferences.

The use of third-party APIs is another important aspect of AI assistant creation and management. These external software interfaces can be used to add extra functionality and data sources to the AI assistants, enhancing their capabilities and usefulness. This can result in AI assistants that are more versatile and capable, able to handle a wider range of tasks and queries.

A knowledge base serves as a comprehensive information source for the AI assistants. This can include a wide range of data, from general knowledge and facts to specific information relevant to the assistant’s area of expertise. The AI model training and execution system can use this knowledge base to train the AI models, improving their performance and accuracy.

AI Assistants helping to build customer relationships

The interaction between the AI assistants and the users can take place on various digital platforms, such as websites and mobile apps. These platforms provide the interface for users to interact with the AI assistants, ask questions, and receive responses. This interaction is crucial to the user experience. The Large Language Model is a specific type of AI model designed to understand and generate human language. This model can be used in the creation of AI assistants, enabling them to understand user queries and generate appropriate responses.

The OpenAI Assistance API, when used with Voiceflow and other technologies, offers a powerful and flexible framework for creating and managing AI assistants. The future of AI systems looks bright, with the potential for creating multiple AI assistants, each an expert in their own field, leading to the development of a powerful general assistant. This vision of the future is both exciting and promising, and these technologies are paving the way towards it.

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How to build a GPT Assistant in less than 5 minutes

How to build a GPT Assistant in less than 5 minutes

 

with the advent of OpenAI’s Assistants API. This cutting-edge tool enables you to craft a virtual assistant that’s perfectly aligned with your specific requirements. These assistants are not only adept at comprehending your commands but also skilled in executing them through the use of advanced AI models. The following guide will take you through step-by-step the process of creating such an assistant swiftly and efficiently, in under five minutes, utilizing the OpenAI Playground.

Building a GPT Assistant using OpenAI Playground is a streamlined and effective process. Following these straightforward steps will not only the able to create your very own AI powered applications but also offer a more interactive and responsive user experience. The future of application development is being reshaped by AI, and by building your custom AI assistant, you can witness firsthand the transformative impact it has on digital interactions, , workflows and productivity.

Step-by-Step Guide to Creating a GPT Assistant

Why not build a team of AI agents to help you streamline your business processes or personal research.

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  1. Identify the Purpose and Scope:
    • Determine the specific tasks or problems you want the GPT assistant to address.
    • Clearly define the scope of the assistant’s capabilities and limitations.
  2. Choose the Right GPT Model:
    • Select an appropriate Generative Pretrained Transformer (GPT) model. Consider factors like language capabilities, processing power, and the complexity of tasks it needs to handle.
  3. Define Instructions and Parameters:
    • Outline the instructions that the assistant will follow. This includes command structures, expected inputs, and desired outputs.
    • Set parameters for the assistant’s behavior, such as tone, level of detail, and formality.
  4. Integrate Supporting Tools (if needed):
    • Depending on the assistant’s function, integrate tools such as a Code Interpreter, Retrieval system, or Function calling capabilities.
    • These tools enhance the assistant’s functionality, allowing it to perform complex tasks or retrieve specific information.
  5. Develop the User Interface:
    • Design a user-friendly interface for interaction with the GPT assistant.
    • Ensure the interface is intuitive and accessible, considering the needs of your target audience.
  6. Program Interaction Flows:
    • Map out the conversation or interaction flows. Determine how the assistant will handle different types of queries and commands.
    • Program responses to common questions or scenarios.
  7. Train and Customize the Model:
    • If necessary, further train the GPT model with specific data sets to tailor its responses to your needs.
    • Fine-tune the model to understand and respond to your unique application’s context and jargon.
  8. Test and Iterate:
    • Conduct thorough testing to ensure the assistant performs as expected.
    • Gather feedback and make adjustments to improve accuracy, efficiency, and user experience.
  9. Deploy the Assistant:
    • Once satisfied with its performance, deploy the GPT assistant in your environment.
    • Ensure it is compatible and seamlessly integrated with your existing systems.
  10. Monitor and Update Regularly:
    • Continuously monitor the assistant’s performance to ensure it meets user needs and expectations.
    • Regularly update the model and tools to keep up with advancements in AI and changing user requirements.

You might also be interested in our previous article on how to use the OpenAI Assistance API to build ChatGPT AI agents.

  • Creating Your Custom Assistant The journey begins with the creation of your Assistant. This crucial first step involves choosing an appropriate AI model and setting up custom instructions that resonate with the needs of your application. This is essentially laying down the foundational rules that will govern how your assistant interacts and responds to the queries posed by users.
  • Enhancing Functionality with Tools OpenAI’s Assistants API goes beyond mere question-and-answer interactions. It includes support for sophisticated tools such as a Code Interpreter, Retrieval systems, and Function calling capabilities. These tools endow your Assistant with the ability to perform more intricate tasks. Whether it’s executing code snippets or fetching specific pieces of information, these functionalities significantly broaden the scope of what your Assistant can do.
  • Engaging in Conversations Once your Assistant is operational, the next step is to initiate a conversation. This is done by creating a Thread, where your Assistant starts to shine. As users ask questions, these are added to the Thread. Your Assistant, now equipped with its arsenal of tools, processes these inquiries to generate responses that are both relevant and accurate.
  • Exploring the Assistants Playground For those new to the realm of AI assistants or those who prefer a more hands-on approach without the complexities of coding, the Assistants Playground is an invaluable resource. This user-friendly platform offers a glimpse into the capabilities of the Assistants API. It’s an ideal space for experimentation and learning, requiring no prior coding experience. Simply sign in, and you’re ready to explore.
  • Providing Valuable Feedback It’s important to note that the Assistants API is currently in its beta phase. OpenAI is actively working on enhancing and expanding its features. Your feedback plays a critical role in this developmental journey. Through participation in the Developer Forum, you can share your experiences, propose improvements, and contribute to shaping the future of this innovative technology.

This API has been thoughtfully designed to cater to a broad spectrum of users, from beginners to seasoned developers. Its intuitive interface simplifies the integration of AI into your applications, while its comprehensive functionality is well-suited for more complex needs. Additionally, its flexible and adaptable nature ensures seamless integration with your existing systems, thereby enhancing user experiences and streamlining interactions.

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Aider AI coding assistant updated with new features

Aider AI coding assistant

If you are searching for an AI coding assistant you might be interested to know that new features and enhancements of been rolled out to the Aider AI pair programming tool. Now upgraded with the GPT-4 Turbo model, these new features add significant advancements to the AI coding assistant and how it can help developers by interacting with their coding environments.

The integration of the GPT-4 Turbo model with the Aider AI coding assistant heralds a significant leap forward in the realm of coding and software development. This model is renowned for its expansive 128k context window, which ushers in an era of unprecedented speed and efficiency for the Aider platform.

Aider AI coding assistant

With this integration, Aider advances past its previous limitations, and is now capable of adeptly managing larger and more complex codebases. The inclusion of the GPT-4 Turbo model also enhances Aider’s ability to automatically commit changes made by GPT models to Git repositories, complete with clear and sensible commit messages. This feature alone stands as a transformative advancement for developers engaged in intricate project management. OpenAI explains a little more about what you can expect from its latest GPT-4 Turbo AI model.

“GPT-4 Turbo is our latest generation model. It’s more capable, has an updated knowledge cutoff of April 2023 and introduces a 128k context window (the equivalent of 300 pages of text in a single prompt). The model is also 3X cheaper for input tokens and 2X cheaper for output tokens compared to the original GPT-4 model. The maximum number of output tokens for this model is 4096.”

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GPT-4 Turbo support

The GPT-4 Turbo model’s impact on coding speed is nothing short of remarkable. Speed benchmarks reveal that it is up to five times faster than the earlier GPT-3.5 Turbo. This increase in speed is paired with a noteworthy 53% success rate in first attempts at code editing, a testament to the model’s improved accuracy and effectiveness. Such metrics underscore Aider’s value as a tool that not only accelerates the coding process but also enhances precision and quality, catering to developers who prioritize both speed and accuracy.

Aider AI coding assistant features

  • Interactive Coding Dialogue: Launch Aider from the command line with a set of source files. Engage in a real-time conversation with GPT about your code, discussing and collaboratively editing the contents of these files.
  • Multilingual Code Support: Aider and GPT can handle a wide range of popular programming languages, including Python, JavaScript, TypeScript, HTML, and CSS, facilitating diverse coding projects.
  • Custom Code Enhancements: Request specific improvements or modifications, such as new features, bug fixes, or performance enhancements. Aider also assists in generating new test cases, updating documentation, or refactoring existing code for better performance and readability.
  • Direct Source File Editing: Aider applies GPT’s suggested edits directly to your source files, streamlining the code revision process.
  • Automated Git Commits: Each change set suggested by GPT is automatically committed to your local git repository, complete with descriptive commit messages. This feature provides a robust safety net, allowing for easy reversion of changes or the use of standard git workflows for managing complex code changes.
  • Multiple File Coordination: Utilize Aider with multiple source files simultaneously. GPT can then execute coordinated code changes across all files in a single changeset or commit, enhancing the consistency and efficiency of multi-file projects.
  • Git Repository Mapping: Provide GPT-4 with a map of your entire git repository. This comprehensive view enables GPT to better understand and modify large and complex codebases.
  • Hybrid Editing Flexibility: Seamlessly switch between coding in Aider and manual editing using your preferred editor. Aider recognizes these out-of-band edits and updates GPT with the latest file versions. This feature allows for a dynamic and collaborative coding experience, combining the strengths of AI assistance with personal coding expertise.

Adopting these advanced capabilities requires a straightforward setup process. Users must have Git installed to clone the Aider repository, Python as the programming language editor, and Visual Studio Code to configure and run the Aider platform. This setup is intentionally designed to be user-friendly, ensuring that developers can quickly start benefiting from the enhanced features without a cumbersome installation process.

The practical applications of Aider’s upgraded capabilities are vast and varied. For instance, tasks like downloading, analyzing, and visualizing US Census data, which once might have been tedious and time-consuming, are now streamlined and efficient. Additionally, Aider adeptly handles complex multi-file changes, including debugging, thereby simplifying what traditionally would be challenging coding tasks. Such examples vividly illustrate how Aider, with the integration of the GPT-4 Turbo model, can transform complicated coding projects into more manageable and less labor-intensive endeavors.

The updated Aider AI coding assistant, now powered by the GPT-4 Turbo model, stands as a shining example of the continuous advancement in AI-assisted coding technologies. It emerges as an indispensable tool for developers who seek to enhance their coding workflows, manage larger and more intricate projects effortlessly, and stay at the forefront of coding efficiency and innovation.

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How to use the Duet AI coding assistant to build your next app

Using Duet AI to build apps on Google Cloud

If you would like a little helping hand when coding your very first app or next generation phone or web application. You might be interested to know that Google’s Duet AI can help you. By providing coding assistance during the creation process and can be integrated into your favorite IDE. Duet AI, an advanced AI-powered coding assistant, is specifically designed to enhance your productivity on Google Cloud.

This state-of-the-art coding assistant is built on Google’s robust foundation models, providing personalized and context-aware assistance while prioritizing data privacy and security. As a fully managed service, Duet AI utilizes the latest AI technology from Google and is constructed on the Vertex AI platform. It strictly follows Google’s AI principles and has earned numerous certifications for information security and privacy, demonstrating its dedication to protecting user data.

Google Duet AI

Duet AI offers a unique blend of AI-powered assistance, designed to expedite the building of applications on Google Cloud. It provides insightful suggestions to address application code challenges, offers guidance in Integrated Development Environments (IDEs), and references sources in Cloud Code. This AI-powered assistance supports a wide range of programming languages, including Go, Java, Javascript, Python, and SQL, catering to a diverse group of developers.

Duet AI is designed to simplify and expedite the application development process. It integrates seamlessly with various IDEs, including industry leaders like Visual Studio Code and JetBrains IntelliJ, to provide real-time code assistance. Combined with Cloud Code extensions, this feature allows you to write, debug, and deploy applications directly from your IDE, significantly reducing development time and boosting productivity.

Beyond code assistance, Duet AI also offers conversational assistance through a user-friendly natural language chat interface. This feature allows you to interact with Duet AI conversationally, making complex coding concepts and solutions easier to understand. The natural language chat interface is powered by advanced Natural Language Processing (NLP) algorithms, enabling Duet AI to understand and respond to your queries effectively and efficiently.

AI Coding Assistance across Multiple IDEs

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Duet AI extends its AI-powered code assistance to multiple IDEs. It uses machine learning models to understand your unique coding style and provide personalized code suggestions. This feature is available in various IDEs, including Visual Studio Code, JetBrains IntelliJ, and other cloud-based development tools like Colab for Enterprise, Cloud Workstations, Cloud Shell Editor, Cloud Spanner, and BigQuery.

Duet AI respects and upholds intellectual property rights, ensuring that user data and inputs are not used for product and model learning. It follows a strict data governance policy, ensuring that your code and data remain private and secure, thereby fostering trust and confidence among its users. As a fully managed service, Duet AI removes the need for you to manage the underlying AI infrastructure. It uses the latest AI technology from Google, including large foundation models and the Vertex AI platform. This allows you to focus on building applications while Duet AI handles the rest, ensuring a smooth and hassle-free development process.

Security and Privacy

Duet AI strictly follows Google’s AI principles, which include being socially beneficial, avoiding creating or reinforcing unfair bias, being built and tested for safety, being accountable to people, incorporating privacy design principles, upholding high standards of scientific excellence, and being made available for uses that accord with these principles.

In addition to adhering to these principles, Duet AI has earned multiple certifications for information security and privacy, including ISO/IEC 27001, 27017, 27018, and 27701. These certifications highlight Duet AI’s commitment to maintaining the highest standards of data security and privacy, further enhancing its credibility.

Duet AI is a powerful tool that can significantly enhance your productivity on Google Cloud. Its AI-powered assistance, conversational assistance in natural language, and AI-powered code assistance in multiple IDEs make it an invaluable resource for any developer. Furthermore, its respect for intellectual property rights, fully managed service, and strict adherence to Google’s AI principles and certifications for security and privacy make it a reliable and trustworthy tool for building applications on Google Cloud. To learn more about how you can use Duet AI to develop an application jump over to the official Google Cloud website.

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Porsche To integrate Google Maps, Assistant and more

Porsche Google

Porsche has announced a new partnership with Google and the carmaker will integrate a range of Google services into their vehicles. This will include Google Maps, Google Assistant and the Google Play Store with a range of different apps.

Picture this: you’re behind the wheel, and Google Maps charts your course, Google Assistant is your co-pilot, and a treasure trove of apps from the Google Play Store is at your fingertips. And fret not, Porsche aficionados—the classic Porsche Communication Management (PCM) interface you know and love is sticking around, with the added perk of constant online updates to keep it as fresh as your vehicle’s polished paintwork.

“Our customers fulfil a dream with our vehicles. In addition to timeless design and exceptional performance, they also want a seamless digital experience. This blended ecosystem results from the integration of platforms and apps that customers know from their end devices,” says Oliver Blume, Chairman of the Executive Board of Porsche AG. “We have an open approach and are developing innovations with leading technology partners.”

You can find out more information about this new partnership between Google and Porsche over at the Porsche website at the link below, it will be interesting to see what other apps are available from the Google Play Store.

Source Porsche

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Deepseek Coder AI open source coding assistant

Deepseek Coder open source AI coding assistant runs online and locally

If you could do with a little assistance when coding or when learning a new coding language you might be interested in a new AI coding assistant in the form of Deepseek Coder. The AI coding assistant has been created using a series of code language models trained on both 87% code and 13% natural language in English and Chinese, with each model pre-trained on 2T tokens.

Various sizes of the Deepseek Coder AI coding assistant are available from 1B to 33B versions. The advanced coding application harnesses the power of artificial intelligence (AI) to streamline the software development process. The Deepseek Coder AI coding tool operates on an extendable framework, enabling scalability and adaptability to a wide array of project requirements. Deepseek is a web-based application, making it accessible via the internet from anywhere. However, the application can also be accessed locally, offering flexibility to developers who prefer or need to work offline.

Deepseek Coder training

Deepseek Coder also offers efficient code generation capabilities using multiple communicative agents to facilitate software communication, thereby enhancing the efficiency of code creation. This feature allows developers to generate code more quickly and accurately, reducing the time and effort required in the development process. One of the key features of Deepseek Coder is its pre-trained model offering AI coding assistant for 80 programming languages, including popular ones like Python and JavaScript. The application also supports project-level code completion and code infilling, further enhancing its utility for developers.

Features of Deepseek Coder AI coding assistant

– Pretrained on 2 Trillion tokens over more than 80 programming languages.
– Various model sizes (1.3B, 5.7B, 6.7B and 33B) to support different requirements.
– A window size of 16K window** size, supporting project-level code completion and infilling.
– State-of-the-Art performance among open code models.
– Open source and free for research and commercial use.

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The AI model is an open-source application, meaning it is free-to-use software that can be modified and distributed by anyone. This open-source nature fosters a collaborative environment where developers can contribute to the application’s improvement. The application can be used for free for research purposes, and it also supports commercial use cases. The capabilities of Deepseek Coder have been tested in various scenarios to ensure its effectiveness and reliability. For instance, it has been used to create a snake game within seconds, demonstrating its potential in game development. The application’s performance has also been compared with other open-source code models such as ChatDev, with promising results.

Benefits of using an AI coding assistant

  • Efficiency Improvement: AI coding assistants can significantly speed up the coding process by suggesting code snippets, completing lines of code, and automating repetitive tasks.
  • Error Reduction: They help in detecting and correcting syntax errors, code smells, and even identifying potential bugs before runtime, which leads to cleaner code and fewer errors.
  • Learning and Upskilling: Coders can learn from AI suggestions, discovering new functions, libraries, and coding patterns that they might not be familiar with.
  • Code Refactoring: AI assistants can suggest improvements and optimizations to existing code, making it more maintainable and performant.
  • Language Agnosticism: Many AI coding assistants support multiple programming languages, allowing developers to switch between projects without losing productivity.
  • Accessibility: They make coding more accessible to beginners by providing inline documentation and explanations, thus lowering the barrier to entry for programming.
  • Integrations: These tools often integrate with IDEs and other development tools, creating a seamless development environment.
  • Documentation Assistance: They can help generate comments and documentation, ensuring that the codebase is understandable and easier to maintain.
  • Resource Optimization: By automating certain tasks, they free up human resources to focus on more complex and creative aspects of software development.
  • 24/7 Availability: Unlike human counterparts, AI coding assistants are available around the clock, providing assistance whenever needed.

Access and availability

Deepseek Coder can be accessed from the official website or can be downloaded from GitHub for local installation. The website provides easy access and start-up, while local installation allows developers to run the application on their own machines. The application can also be run on LM Studio, an AI platform that supports open-source models. To learn more about LM studio check out our previous articles.

Deepseek Coder is an advanced coding application that utilizes AI to streamline the software development process. Its extendable framework, efficient code generation capabilities, and pre-trained model make it a powerful tool for developers. As an open-source application, it fosters collaboration and is accessible to all. With its impressive capabilities, Deepseek Coder is set to make a significant impact in the world of software development.

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Using Google Duet AI coding assistant to speed up development

Using Google Duet AI to speed up development

If you are looking to improve your coding or development workflow you may be interested in a new artificial intelligent coding assistant created by Google. Duet AI is a chat interface that provides answers to cloud-related queries and offers guidance on best practices. It is specifically trained on Google Cloud content, including documents, sample code, and best practices. This feature allows developers to have immediate access to relevant information, without having to search through numerous resources.

Google Duet AI

The AI offers conversational assistance in Console and Integrated Development Environments (IDEs) such as Visual Studio Code and JetBrains IntelliJ, via the Cloud Code extensions. This interactive assistance can drastically reduce the time spent on debugging and troubleshooting, allowing developers to focus more on actual coding and innovation.

One of the most notable features of Duet AI is its capability for code completion and generation. It can assist with writing apps, calling APIs, or querying data by completing code while you write or generating code blocks based on comments. This feature is available in multiple IDEs, including Visual Studio Code, JetBrains IDEs, Colab for Enterprise, Cloud Workstations, Cloud Shell Editor, Cloud Spanner, and BigQuery.

Duet AI supports over 20 programming languages, including Go, Java, Javascript, Python, and SQL. This wide range of supported languages makes Duet AI a versatile tool that can cater to a broad spectrum of developers, regardless of their preferred coding language.

AI coding assistant

To demonstrate the capabilities of Duet AI, tutorials are available in the video below is a tutorial on integrating the weather API into a Python Flask app can help developers understand how to leverage Duet AI in real-world applications.

Data privacy and Intellectual Property (IP) protection are critical concerns in the digital world. Duet AI ensures that user data, inputs, and recommendations are not used for product and model learning and development. This feature ensures that data and IP remain exclusively owned by the user, providing peace of mind for developers who use the tool.

When Duet AI provides suggestions that directly quote from a source, it includes source citations. This helps users comply with license requirements and promotes transparency. Users also have the option to block these suggestions if desired.

As a fully managed service, Duet AI is regularly and automatically updated and monitored, using the latest-tested AI technology from Google. This means that developers can always have access to the most up-to-date tools and features, without having to worry about maintenance or updates.

Google Workspace AI assistant

No hosting required

Due to Google’s investment in AI infrastructure ensuring performance and scale the service does not require hosting by the user. This feature reduces the burden of hosting and maintenance on the user, allowing them to focus on their core development work. For those looking to build their own custom experiences, Google offers the Vertex AI platform, which Duet AI is built upon. This provides developers with the flexibility to tailor their AI tools to suit their specific needs and preferences.

Duet AI offers a range of features designed to assist developers in their work. From code completion and generation to data privacy and IP protection, Duet AI is a versatile tool that can speed up development and enhance productivity. By integrating Duet AI into their workflow, developers can leverage the power of AI to stay ahead in the fast-paced world of technology.

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