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Create a home automation system with Zigbee and Home Assistant

Using Home Assistant and Zima to create a home automation system

Imagine walking into your home and having everything respond to your needs without lifting a finger. Lights adjust to the perfect brightness, blinds open or close to keep your home at the ideal temperature, and your favorite music starts playing as you settle in. This isn’t a scene from a futuristic movie; it’s what today’s smart home technology can offer. At the forefront of this advancement is Home Assistant, a powerful automation platform that can turn your home into a responsive, connected environment.

Home Assistant is an open source home automation that puts local control and privacy first.  it is also perfect to run on a Raspberry Pi, local service or in this case a Zima board. Once set out Home Assistant can be the brain of your home, linking various smart devices and making them work together smoothly. To get started, you’ll need to install it, and many users choose a Zima board for this task. The Zima board is a sturdy piece of hardware that delivers excellent performance and is compatible with a wide range of devices. I found the installation process straightforward, especially after connecting a Sonoff Zigbee 3.0 USB dongle, which allowed my smart devices to communicate over the Zigbee protocol. Zigbee is known for being reliable and energy-efficient, which is ideal for a smart home setup.

When setting up a smart home, you’ll need to decide on a communication protocol. Zigbee and Z-Wave are two of the most popular choices. They both use mesh networks to keep your devices connected, but they operate on different frequencies and support different devices. I chose Zigbee because it supports a wider range of devices, which helps create a more unified smart home system.

Zigbee home automation system

Here are some other articles you may find of interest on the subject of automation and how you can use artificial intelligence to help make automated workflows even more effective :

Home Assistant the brains of your home automation system

The heart of Home Assistant is its central dashboard. This user-friendly interface brings all your smart devices together in one place. It makes it easy to add new devices and set up automation rules. With this dashboard, you have a powerful control panel for your entire smart home.

Home Assistant also offers a service called Home Assistant Cloud. This service allows you to access your smart home remotely and securely. It also includes features like emulated Hue integration, which means you can use voice commands with Amazon Alexa or Google Assistant, even if your devices don’t natively support these services.

While many people start their smart home journey with a Raspberry Pi, in the video above created by TechHut a x86 machines has been used to offer better performance and handle more devices and complex automations. This is important as you expand your smart home and add more devices. The Home Assistant platform is adaptable and powerful, and the possibilities for adding new devices and exploring advanced features are endless. Home Assistant is a robust choice for anyone interested in taking their home automation to the next level.

Zigbee

Zigbee is a specification for a suite of high-level communication protocols used to create personal area networks built from small, low-power digital radios. It’s based on the IEEE 802.15.4 standard, which defines the physical and media access control layers for low-rate wireless personal area networks (LR-WPANs). The key characteristics of Zigbee include its low power consumption, low data rate, and close proximity operation, typically within 10 to 100 meters.

Zigbee is often used in applications that require a low data rate, long battery life, and secure networking. It’s particularly popular in home automation, as it enables the wireless communication between devices like smart thermostats, lighting controls, and security systems. Zigbee networks are mesh networks, meaning each node in the network can communicate with others and relay data, allowing for greater range and reliability.

One of the main advantages of Zigbee is its ability to handle a large number of nodes — up to thousands in a single network. This makes it highly scalable and suitable for complex systems. However, its low data rate means it’s not ideal for applications requiring high bandwidth, such as video streaming.

Zigbee’s security features include 128-bit encryption, which is robust for most applications. However, like any wireless technology, it’s not immune to security vulnerabilities and requires proper setup and maintenance to ensure network security.

Home Assistant has transformed many home into a more intelligent and efficient space. Its straightforward installation, wide protocol support, and intuitive dashboard make it an excellent option for both experienced tech users and those new to smart home technology. If you’re interested in enhancing your home’s capabilities, Home Assistant provides a wealth of opportunities for customization and innovation.

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How to use Microsoft’s Copilot Pro AI assistant – Beginners Guide

Microsoft Copilot Pro AI assistant - Beginners Guide

Microsoft has unveiled a new subscription service called Copilot Pro, which is set to transform the way individual users interact with their Microsoft 365 applications. At a cost of $20 per month, this service integrates cutting-edge artificial intelligence (AI) technologies into familiar tools such as Word, Excel, PowerPoint, and Outlook, aiming to boost productivity for personal and family subscription holders.

Copilot Pro is built around advanced AI models, including GPT-4 and GPT-4 Turbo, which are now available within the Microsoft 365 suite. This means that users can access AI-powered assistance directly within the applications they use daily. While the service is designed for individual users, family plan members can also access it for an additional fee.

One of the standout features of Copilot Pro is its inclusion of DALL-E, an AI that enhances your ability to generate images. With Copilot Pro, users can create up to 100 images per day, a significant increase from the standard offering. This allows for greater creativity and variety in visual projects. Copilot Pro also enables you to add AI to your favorite Microsoft 365 apps to help you unlock your creativity, communicate with confidence and up-level your digital skills. Here is a quick overview of the differences between the free version Copilot and the paid version Copilot Pro.

Copilot vs  Copilot Pro

Copilot

  • Use Copilot on the web and in Windows, macOS and iPadOS
  • Access GPT-4 and GPT-4 Turbo during non-peak times
  • Use text, voice and images in conversational search
  • Create AI images with 15 boosts per day with Designer (formerly Bing Image Creator)
  • Use plug-ins and GPTs

Copilot Pro

  • Copilot Pro is a subscription that offers accelerated performance, faster AI image creation and access to Copilot in Word, Excel (Preview), PowerPoint, Outlook and OneNote if you are also a Microsoft 365 Personal or Family subscriber.
  • Gain priority access to GPT-4 and GPT-4 Turbo including during peak times for accelerated performance to get things done faster
  • Access Copilot in selected Microsoft 365 apps to draft documents, summarise emails, create presentations and more
  • Create AI images with DALL-E 3 in landscape format even faster with 100 boosts per day with Designer (formerly Bing Image Creator)

Copilot Pro AI assistant

The integration of Copilot Pro with Microsoft 365 apps is seamless. In Word, users can rewrite text, visualize data, and summarize documents with ease using a conversational sidebar. PowerPoint users can generate entire presentations from simple prompts, and Excel’s AI provides assistance with data analysis and formula suggestions. For those using Outlook, the service offers advanced drafting tools and email coaching to improve communication skills.

To use Copilot Pro, you must have an active Microsoft 365 personal or family subscription. The service is user-friendly, offering a range of conversational styles and the option to choose from different GPT models to suit your specific needs.

For those who are deeply integrated into the Microsoft 365 ecosystem, Copilot Pro is an essential tool. It leverages AI for a variety of tasks, including document creation, data analysis, and communication, with the goal of significantly enhancing efficiency and productivity. Microsoft expends a little more about the Copilot Pro subscription service

What is priority access?

There is dedicated capacity exclusively for the use of Copilot Pro subscribers. Additionally, during peak usage times, Copilot Pro subscribers will continue to have access to GPT-4 and GPT-4 Turbo whereas users of the free Copilot experience may be limited to GPT 3.5 as needed.

What are boosts in Copilot?

Designer (formerly Bing Image Creator) in Copilot gives you the ability to generate AI images. Boosts refer to the number of turns you have to create images faster. Copilot gives you 15 daily boosts for image generation and in Copilot Pro you get 100 daily boosts for image generation. Boosts do not refer to the number of images you can generate.

How many people can use a Copilot Pro subscription?

Copilot Pro is for one person. If you have a Microsoft 365 Family subscription and have shared your subscription with other people, each will need to buy their own Copilot Pro subscription to use Copilot in the Microsoft 365 apps.

Does Copilot Pro work with a Microsoft 365 Business subscription?

Copilot Pro will not unlock access to Copilot in Microsoft 365 apps if you have a Microsoft 365 Business subscription (i.e. Microsoft 365 Business Basic, Microsoft 365 Business Standard, Microsoft 365 Business Premium, Microsoft 365 Apps for Business). To use Copilot with a Microsoft 365 Business subscription, buy Copilot for Microsoft 365.

Where is Copilot Pro available?

Copilot Pro is currently available in Austria, Australia, Brazil, Canada, Switzerland, Germany, Spain, France, United Kingdom, India, Italy, Japan, Mexico, New Zealand and the United States. Microsoft plan to make Copilot Pro available in more markets soon.

Which languages does Copilot Pro support?

Copilot Pro supports English, French, German, Italian, Japanese, Portuguese and Spanish. We plan to add more languages soon. Learn more about Copilot support languages.

Where can I access Copilot Pro?

You can access Copilot Pro via the Copilot app on the web, Windows, macOS and iPadOS. On those platforms, you can also use Copilot Pro benefits in apps like Bing, Edge and Start. Support for iOS and Android is coming soon.

Where can I buy Copilot Pro?

You can buy Copilot Pro from the official Microsoft website and Apple AppStore (iPad and Mac only). We plan to add more ways to buy soon.

How do I manage my Copilot Pro subscription?

You can manage your Copilot Pro subscription within the Microsoft account portal.

How does Copilot Pro work with a Microsoft 365 Personal or Family subscription?

You can use your Copilot Pro subscription to unlock Copilot in selected Microsoft 365 apps if you also have a Microsoft 365 Personal or Family subscription. These apps include Word, Excel (Preview), PowerPoint, OneNote and Outlook. The Copilot experience in Excel is currently in preview and only supports the English language. You can access Copilot in these Microsoft 365 apps on Windows, and soon on macOS and iPadOS. Support for iPhone and Android is coming soon. For OneNote users Copilot Pro benefits will only be visible in Windows.

Overall, Microsoft’s Copilot Pro is a sophisticated AI subscription service that adds a layer of personalized assistance to the Microsoft 365 experience. Whether you’re working on documents, analyzing data, creating presentations, or managing emails, Copilot Pro is designed to help you accomplish more with less effort. To learn more about Microsoft Copilot and the new artificial intelligence added jump over to the official support site.

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Codeqai AI powered coding assistant designed for semantic code search

Codeqai AI powered coding assistant

Developers and programmers are always on the lookout for tools that can make their work easier and more efficient. Enter Codeqai, an artificial intelligence AI coding assistant that’s changing the way developers interact with their code. This AI assistant is not just another addition to the toolbox; it’s a sophisticated partner that offers a new level of understanding and interaction with your codebase.

Codeqai

At the heart of Codeqai is a powerful local vector database that it uses to analyze and understand your code. This isn’t a static tool; it’s dynamic, constantly evolving to provide the most relevant insights as you code. What makes Codeqai stand out is its ability to support a wide range of programming languages, including popular ones like TypeScript, JavaScript, and Java. This means that no matter what language your project is in, Codeqai is equipped to help.

Search your codebase semantically or chat with it from cli. Keep the vector database superfast up to date to the latest code changes. 100% local support without any dataleaks. Built with langchain, treesitter, sentence-transformers, instructor-embedding, faiss, lama.cpp, Ollama. You can also install codeqai through PyPI with “pip install codeqai”. However, it is recommended to use pipx instead to benefit from isolated environments.

AI powered coding assistant

Using Codeqai is as simple as having a conversation. It features a command prompt and a chat interface that allows you to ask questions in plain language and receive detailed, contextually accurate answers. This ease of use is made possible by advanced technologies such as Tree-sitter and Sentence Transformers, which give Codeqai the ability to understand and interpret code with remarkable accuracy.

But Codeqai’s AI coding assistant capabilities don’t stop there. It also integrates with various frameworks and toolkits, including Lang chain and Hugging Face’s model hub. These integrations open up a world of language models and embeddings, enabling you to tailor Codeqai to your specific coding needs.

Getting started with Codeqai is straightforward. All you need is Python 3.9 or newer to install it. Once you’re set up, you’ll have access to an exclusive Discord community where you can connect with other developers and discover a wealth of AI tools and resources. For businesses looking to harness the power of AI, Codeqai offers consulting services to help integrate AI solutions seamlessly.

For developers who are serious about enhancing their coding skills and efficiency, Codeqai is an invaluable tool. Its ability to understand and interact with your codebase semantically, combined with its continuous updates and support for multiple languages, makes Codeqai an essential asset for any developer looking to refine their coding process.

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Build your own AI assistant like Perplexity

Build your own AI assistant like Perplexity using LangGraph GPT-4 and Tavily

Imagine the power of having your own AI assistant, one that can swiftly find information and engage in conversation just like the sophisticated Perplexity. This is not a distant dream but a tangible project you can embark on today. With the right tools and guidance, you can create an assistant that not only understands and generates nuanced language but also searches with incredible accuracy. This article will guide you through the steps to build such an assistant, which we’ll call “Perplexity Light,” using cutting-edge technologies.

The secret behind the original Perplexity’s impressive capabilities lies in its interaction with advanced language models. To replicate this, you’ll be using the latest LangChain library and LangGraph. These tools simplify the complex process of building language agents by organizing them into graphs, making the execution of AI tasks more straightforward than traditional programming approaches.

At the heart of your AI assistant will be GPT-4, the latest language model from OpenAI. It’s celebrated for its deep understanding of language and its ability to generate responses that feel incredibly human. When you combine GPT-4 with the robust search functionalities of Tavily AI, your assistant will not only hold natural conversations but will also be able to retrieve information with exceptional accuracy.

Build your own AI assistant

In the tutorial below kindly created by AI Anytime explore how to utilize LangGraph, a library designed for building stateful, multi-actor applications. LangGraph, built on LangChain, to enable the coordination of multiple ‘actors’ and how this is particularly useful for adding cycles to your LLM applications, extending beyond the capabilities of a traditional DAG framework.

“LangGraph is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner. It is inspired by Pregel and Apache Beam. The current interface exposed is one inspired by NetworkX.”

Here are some other articles you may find of interest on the subject of  Perplexity AI

Your AI assistant will run on a Fast API microservice, which is perfect for handling the asynchronous nature of AI interactions. This framework is known for its speed and efficiency, making it an excellent choice for your project. If you’re thinking about adding a user interface, consider using Bootstrap for its responsive design capabilities and its wide range of components.

The journey to develop your AI assistant begins with Google Colab, a collaborative and user-friendly coding platform that operates in the cloud. Starting in this flexible environment, you’ll eventually transition to the more structured world of a Fast API application.

The core functionality of Perplexity Light is what makes it truly special. It will allow users to ask questions and receive AI-generated responses, mimicking a natural conversation. This feature is not just a technical marvel; it represents a step forward in making information access and management seamless for users.

Perplexity Light also opens doors for those looking to create minimum viable products (MVPs) or proofs of concept. With Tavily AI’s free tier for initial requests, you can start experimenting and refining your application without a significant financial investment, encouraging innovation in the realm of AI assistants.

Building an AI assistant akin to Perplexity means weaving together sophisticated technologies. By harnessing the capabilities of LangGraph, GPT-4, and Tavily AI within a Fast API framework, you’re not just crafting an application; you’re shaping the future of AI-powered search and interaction tools. This guide is your first step towards creating an assistant that not only performs tasks but also transforms the way we interact with technology. For more information on LangGraph jump over to the official documentation.

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Microsoft Copilot Pro AI assistant for individuals launches for $20 per month

Microsoft Copilot Pro AI launches

Microsoft has recently unveiled Copilot Pro, a new premium AI assistant service that promises to boost personal productivity for a variety of tasks. For $20 a month, users can access this service, which incorporates the latest AI technology and sophisticated image creation tools. This personalized AI experience is designed to help with writing, coding, and designing, making it easier for individuals to complete their work more efficiently. Microsoft explains a little more

“While Copilot Pro is our best experience for individuals, Copilot for Microsoft 365 is our best experience for organizations.”

The company is also extending the availability of its AI assistant to businesses of all sizes. Smaller enterprises can now benefit from Copilot through Microsoft 365, at a cost of $30 per user each month. This expansion is a significant step in democratizing access to advanced AI tools, potentially transforming how businesses operate by providing them with powerful resources that were once only available to larger organizations.

Microsoft Copilot Pro AI

Copilot Pro AI mobile app

One of the standout features of Copilot Pro is the integration of OpenAI’s GPT-4 Turbo, a highly advanced AI model. This model enables the assistant to understand and execute complex instructions, which can significantly boost productivity for users. The ability to comprehend and respond to intricate tasks is a key aspect of what makes Copilot Pro an effective tool for enhancing efficiency.

For those who require visual content, Copilot Pro offers an impressive solution with its Image Creator from Designer. This AI-driven tool is capable of generating high-quality images, which can greatly streamline the creative process for users. By simplifying the production of visual content, Copilot Pro helps users save time and effort, allowing them to focus on other aspects of their work.

Here are some other articles you may find of interest on the subject of Microsoft Copilot :

Looking ahead, Microsoft is working on a builder tool that will allow users to customize their AI experiences. This development is aimed at providing a more personalized approach, enabling users to tailor the AI to better suit their individual needs and preferences.

Copilot GPTs and mobile applications

  • Copilot GPTs – Let you customize the behavior of Microsoft Copilot on a topic that is of particular interest to you.  A handful of Copilot GPTs will start to roll out beginning today with specific purposes such as fitness, travel, cooking and more. Soon, Copilot Pro users will also be able to create their own Copilot GPTs using Copilot GPT Builder. Stay tuned for more on this experience as we get closer to availability.
  • Copilot mobile app – is now available for Android and iOS. The Copilot app gives you the power of Copilot on the go as your Copilot queries and chats will roam across your phone and PC. The Copilot mobile app includes the same capabilities of Copilot on your PC including access to GPT-4, Dall-E 3 for image creation, and the ability to use images from your phone when chatting with Copilot. Download the app from the Google Play Store or the Apple App Store.
  • Copilot in the Microsoft 365 mobile app –  for Android and iOS for individuals with a Microsoft account. This new feature is rolling out over the next month. Access Copilot right inside the app and easily export the content you create to a Word or PDF document. Download the app from the Google Play Store or the Apple App Store.

Copilot Pro is designed to work seamlessly with Microsoft’s suite of applications, including Microsoft Teams and other Microsoft 365 apps. This integration ensures that users can easily access the AI assistant’s capabilities within the software they use daily. Furthermore, the Copilot mobile app, available for both Android and iOS devices, offers on-the-go accessibility. The app is integrated into the Microsoft 365 mobile app, ensuring a consistent experience across different devices.

With the launch of Copilot Pro and the broader availability of Copilot for Microsoft 365, Microsoft is enhancing the way AI-assisted tasks are performed. The introduction of top-tier AI technology, improved creative tools, and the promise of future customization options indicate that Microsoft is committed to creating a future where productivity and creativity are significantly supported by AI. Users can look forward to an evolving set of tools that are designed to cater to their specific requirements, making their work processes simpler and more personalized.

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New Mercedes MBUX Virtual Assistant unveiled at CES

Mercedes MBUX

Last week at the Consumer Electronics Show in Las Vegas Mercedes unveiled its new MBUX Virtual Assistant and its latest in-vehicle technology, the new MBUX assistant uses generative AI and it comes with a range of features.

Mercedes also showed off their new MBUX Surround Navigation system at CES, which is designed to integrate route guidance and provide a seamless experience with 3D graphics and more.

Mercedes MBUX

The class-defining MBUX Virtual Assistant running on MB.OS is the most human-like interface with a Mercedes-Benz yet. Combining the intelligent systems of MBUX into a single entity, it presents a new face to the customer with natural and empathetic interaction. The MBUX Virtual Assistant is a further development of the system first showcased in the VISION EQXX. It uses generative AI and proactive intelligence to make life as easy, convenient and comfortable as possible. For instance, it can offer helpful suggestions based on learned behaviour and situational context. Examples include playing the latest news in the morning or initiating a preferred massage programme at the end of the working day. And if the driver is running late for a meeting entered into the calendar, the system can offer to dial in directly from the car. If the driver wishes, these processes can also be automated. The experience can be further augmented through incorporation of the vehicle’s ambient lighting and sound system. For example, warm light and soft music can accompany a relaxing massage.

You can find out more information about the new Mercedes MBUX Virtual Assistant over at Mercedes Benz at the link below, it certainly looks interesting from the photos.

Source Mercedes Benz

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Phixtral 4x2_8B mixture of experts (MoE) AI assistant

Phixtral 4x2_8B mixture of experts AI assistant

In the fast-paced world of artificial intelligence, a new coding model has emerged, capturing the attention of tech enthusiasts and professionals alike. The Phixtral 4x2_8B, crafted by the innovative mind of Maxim Lebon, is a tool that stands out for its ability to enhance the way we approach coding tasks. This model is not just another addition to the AI landscape; it represents a significant step forward, building on the strengths of its predecessors to deliver a more efficient and accurate coding experience.

The Phixtral 4x2_8B is inspired by the phi-2 models from Microsoft, which are celebrated for their precision in handling complex coding tasks. However, the Phixtral goes beyond what these models offer, providing performance that surpasses that of traditional coding tools. It’s a development that has caught the eye of many in the industry, as it promises to streamline coding processes in ways that were previously unattainable.

Phixtral is the first Mixture of Experts made by merging two fine-tuned microsoft/phi-2 models. One of the most compelling aspects of the Phixtral 4x2_8B is its versatility. This small model (4.46B param) is good for various tasks, such as programming, dialogues, story writing, and more.

The model comes in two configurations, giving users the option to choose between two or four expert models depending on their specific needs. This flexibility is a testament to the model’s design, which is centered around the user’s experience and the diverse challenges they may face in their coding endeavors.

Phixtral 4x2_8B mixture of experts

The secret to the Phixtral 4x2_8B’s success lies in its mixture of experts architecture. This innovative approach allows the model to leverage the strengths of various specialized models, each fine-tuned for different coding tasks. The result is a tool that is not only powerful but also highly adaptable, capable of addressing a wide range of coding challenges with remarkable precision.

The integration of these expert models is made possible by the Mergekit, a groundbreaking tool that ensures different language models work together seamlessly. This feature places the Phixtral 4x2_8B at the forefront of compatibility and flexibility, making it an ideal choice for those who require a coding tool that can easily adapt to various scenarios.

Here are some other articles you may find of interest on the subject of mixture of experts AI models :

Mergekit supports Llama, Mistral, GPT-NeoX, StableLM and more

Mergekit is a toolkit for merging pre-trained language models. mergekit uses an out-of-core approach to perform unreasonably elaborate merges in resource-constrained situations. Merges can be run entirely on CPU or accelerated with as little as 8 GB of VRAM. Many merging algorithms are supported, with more coming.  Features of Mergekit include :

  • Supports Llama, Mistral, GPT-NeoX, StableLM, and more
  • Many merge methods
  • GPU or CPU execution
  • Lazy loading of tensors for low memory use
  • Interpolated gradients for parameter values (inspired by Gryphe’s BlockMerge_Gradient script)
  • Piecewise assembly of language models from layers (“Frankenmerging”)

The model’s performance has been put to the test against other competitors, such as Dolphin 2 and the F2 models. In these benchmarks, the Phixtral 4x2_8B has demonstrated superior results, showcasing its ability to handle various tasks more effectively. This isn’t just a claim; the model’s prowess can be observed firsthand on the Hugging Face platform, especially when it’s powered by T4 GPUs that support 4bit precision. This combination of speed and efficiency is what makes the Phixtral 4x2_8B stand out in a crowded field of AI tools.

The Phixtral 4x2_8B’s capabilities have undergone rigorous testing, confirming its effectiveness and solidifying its position as a top contender for those looking to improve their coding processes. It’s a model that not only meets the current demands of the AI industry but also anticipates future needs, ensuring that it remains relevant and valuable as technology continues to evolve.

For anyone involved in the world of AI and coding, the Phixtral 4x2_8B is a noteworthy development. It represents a synthesis of expert knowledge within a flexible framework, delivering a level of performance in coding tasks that is hard to match. With the added benefit of the Mergekit for model interoperability and the choice between two versions, the Phixtral 4x2_8B is both user-friendly and adaptable.

Those interested in experiencing the capabilities of the Phixtral 4x2_8B can do so on the Hugging Face platform, where its optimized performance is on full display. The model’s compatibility with T4 GPUs and 4bit precision further enhances its appeal, offering a balance of speed and efficiency that is crucial for modern coding requirements.

As the AI industry continues to grow and change, tools like the Phixtral 4x2_8B will play an increasingly important role in shaping the future of coding. Its innovative design and proven effectiveness make it a valuable asset for anyone looking to stay ahead in the competitive world of artificial intelligence.

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Rabbit R1 pocket AI computer and virtual assistant $199

Rabbit pocket AI virtual assistant

Rabbit has recently unveiled an advanced AI AGENT known as the Large Action Model (LAM), which is set to redefine the way we interact with technology. This AI is integrated into the new Rabbit R1 mobile device OS, offering a user experience that is centered around natural language processing. This means that you can now communicate with your device in a way that feels as natural as talking to a friend. You can ask your Rabbit R1 to schedule meetings, order food, or perform other complex tasks without navigating through multiple apps or menus.

At the heart of the Rabbit R1 lies the Rabbit OS, which is driven by the LAM. This operating system is a departure from the traditional app-based interfaces that most of us are accustomed to. Instead, it focuses on understanding and executing commands given in natural language. This shift is designed to make technology more intuitive and user-friendly, allowing for a smoother interaction between humans and their devices.

The Large Action Model is the cornerstone of rabbit OS. LAM is a new type of foundation model that understands human intentions on computers. With LAM, rabbit OS understands what you say and gets things done.

Rabbit the future of human-machine interface

The design of the Rabbit R1 is both user-friendly and technologically advanced. It features a touchscreen for easy navigation, a push-to-talk button for quick voice commands, an analog scroll wheel for precision control, and a microphone for clear voice input.

The device also comes with speakers that deliver high-quality audio. One of the most notable features is the 360-degree camera equipped with computer vision technology, which opens up new possibilities for capturing and interacting with the world around you.

Connectivity is a breeze with the Rabbit R1, as it supports Bluetooth, Wi-Fi, and 4G LTE networks. Rabbit has also placed a strong emphasis on privacy, ensuring that your personal data is kept secure and not tracked.

Pocket AI computer

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The R1 is not just about its sleek design; it’s packed with smart features that aim to boost both productivity and entertainment. For instance, the real-time translator can help you communicate in different languages, making it an invaluable tool for travelers or international business professionals. The notetaker feature is perfect for quickly jotting down ideas or reminders. Additionally, the device’s advanced computer vision capabilities make it useful for a variety of professional and leisure activities.

Rabbit AI

Pricing and availability

Rabbit has priced the R1 at an affordable $199, with a clear and straightforward cost model that doesn’t hide any fees. Pre-orders are currently available, and the company expects to start delivering the devices in early 2024. This pricing strategy is part of Rabbit’s commitment to making sophisticated technology accessible to a broader audience.

One of the most impressive aspects of the LAM is its ability to adapt and learn from user interactions. It customizes its responses based on your preferences and can apply actions across different applications. This adaptability shows the LAM’s potential to serve as a versatile personal assistant. Early tests have shown that the LAM is highly effective in navigating the web, which suggests that it could become an indispensable tool for many users.

The launch of Rabbit’s Large Action Model and the R1 device OS is a significant event in the realm of personal computing. With its focus on natural language interaction and a variety of user-centric features, the R1 is set to offer a new and improved way of engaging with our devices. Rabbit is not just introducing new products; it is influencing the future direction of our interaction with technology. As Rabbit continues to innovate, it’s likely that their developments will become benchmarks for the technological world of tomorrow.

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How to create a self prompting GPT AI assistant

How to create a self prompting GPT tutorial

The world of game development is rapidly evolving with the integration of advanced artificial intelligence (AI) technologies. One of the most exciting developments in this field is the use of Generative Pre-trained Transformer (GPT) AI models, particularly with self-prompting techniques. These methods are reshaping how game developers generate and refine code, leading to more sophisticated and engaging gaming experiences.

Imagine a tool that not only writes code but also improves it in real-time. This is now possible with the latest AI models designed for game development. Developers can watch the AI’s thought process unfold, much like a scene from “The Matrix,” where the code streams down the terminal. This real-time feedback is invaluable, as it allows for immediate adjustments and enhancements to the game’s code.

The ChatGPT 3.5 turbo model, for instance, has proven to be an indispensable asset for developers. It can generate Python code for classic games such as Snake, but its capabilities don’t stop there. The AI continues to work on the code, making the game more challenging, improving the mechanics, and expanding the play area. This results in a more captivating and immersive gaming experience for players.

Self prompting GPT

This approach of iterative code refinement is not limited to simple games. It’s also applied to more complex tasks. The goal is to not just produce correct code from the outset but to continuously improve it. The result is smoother animations, more responsive gameplay, and a polished final product that stands out in the competitive gaming market. Check out the demonstration below kindly created by All About AI to learn more about how to create your very own self prompting GPT.

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For game developers, understanding the differences between AI models is crucial. A side-by-side comparison of the ChatGPT 3.5 turbo and GPT-4 models, for example, can provide insights into their respective strengths in code generation. This knowledge helps developers choose the most suitable AI model for their specific game development projects.

AI is not just about generating code; it’s also about strategy. Take the classic game of Tic Tac Toe. By employing the Minimax algorithm, developers can create an AI that is virtually unbeatable. This algorithm ensures that the AI always makes the optimal move, presenting a formidable challenge to human players and guaranteeing at least a draw, if not a victory, for the AI.

Collaboration is key in the tech world, and the sharing of resources like the streaming ChatGPT script on platforms such as GitHub fosters this spirit. It invites the community to contribute, innovate, and share their advancements. Moreover, dedicated online communities, such as Discord servers, provide a space for enthusiasts and professionals to discuss, brainstorm, and collaborate on AI and game development projects.

The use of self-prompting GPT AI models in game development is not just a theoretical exercise; it’s a practical approach that can significantly enhance the game creation process. By iterating on AI-generated code, developers can refine their projects, pushing the boundaries of what’s possible with AI-assisted coding. This opens up new horizons for innovation in game development, making it an exciting time for developers and players alike. As AI continues to advance, we can expect to see even more sophisticated and engaging games that push the limits of creativity and technology.

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Cody Visual Studio Code AI coding assistant Copilot alternative

Cody Visual Studio Code AI coding assistant Copilot alternative

Imagine you’re working on a complex coding project, and you hit a snag. You’re deep in the trenches of Visual Studio Code (VS Code), and you wish you had a partner to help you navigate through the maze of your codebase. What if there was an AI assistant that could understand your project’s unique context and provide real-time, context-aware suggestions? Enter Cody, the AI coding assistant that’s transforming the way developers work in their Integrated Development Environment (IDE). Cody is more than just an autocomplete tool; it’s a collaborative partner that boosts your coding efficiency.

Cody’s most impressive feature is its ability to grasp the context of your codebase. This deep understanding allows Cody to offer finely-tuned recommendations that align with your project’s specific needs. Whether you’re trying to solve a complex bug or writing unit tests, Cody is there to assist. It’s not just about autocompletion; Cody’s AI-driven chat feature lets you interact with your code as if you were working with another developer. You can ask questions and receive insightful guidance, making it feel like a two-way conversation.

But Cody’s capabilities don’t stop there. It comes with a suite of tools that extend beyond generating code snippets and answering technical questions. Cody can help you understand complicated code, automate the creation of documentation, and identify code smells—those subtle issues that could affect the quality or performance of your code. These powerful features are easily accessible through a user-friendly sidebar, putting Cody’s diverse functions at your fingertips.

Cody Visual Studio Code AI coding assistant

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One of the appealing aspects of Cody is its broad accessibility. It offers a free tier with a generous rate limit, making it available to a wide range of developers. Moreover, Cody is versatile, compatible with various IDEs, not just VS Code. This flexibility means you can integrate Cody into your preferred coding environment effortlessly.

Cody takes a holistic approach to application development. It doesn’t just provide code suggestions; it offers advice on tech stacks, UI components, and even adds a touch of gamification to make coding more engaging. With Cody, you can insert code snippets directly into your project and get troubleshooting support, streamlining your development workflow.

For developers who are keen on refining their code, Cody is a valuable resource. It can help with style editing and implementing functionality through chat commands. Cody can also generate documentation and unit tests, as well as conduct code smell analysis. This ensures that your code is not only functional but also adheres to industry best practices.

Cody is more than a typical AI coding assistant. It’s a comprehensive tool that enhances the coding experience within VS Code and other IDEs. By understanding the context of your codebase and delivering personalized recommendations, Cody enables you to create better code more quickly. With its wide range of features, from autocomplete to code smell detection, and its accessible free tier, Cody is an indispensable resource for developers looking to improve their productivity and code quality. Cody is now generally available, ready to integrate into your development workflow and elevate your coding skills.

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