Localai

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Experiment with AI models locally with zero technical setup, powered by a native app designed to simplify the whole process. No GPU required!

How Localai can help you:

Enables experimenting with AI models offline and in private.
Simplifies the AI model management process.
Facilitates integrity verification of downloaded models using BLAKE3 and SHA256.
Allows for easy setup of a local streaming server for AI inferencing.

Why choose Localai: Key features

Compact and efficient with a Rust backend.
No GPU required, making it accessible on standard hardware.
Free and open-source, encouraging transparency and community development.

Who should choose Localai:

Developers and researchers working with AI models.
Individuals interested in AI experimentation without heavy technical setup.
Organizations looking for a lightweight, efficient solution for AI model management and inferencing.

About Localai

Website

https://www.localai.app

Release Date

March 2024

Pricing

Free

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Related News

A solution in search of a problem? Intel debuts AI app that runs locally on its most recent CPUs - but will it convince users of the benefits of end-user AI?

AI Playground gains new features for Intel Core Ultra 200V processors Intel has updated its AI Playground app, initially launched in July 2024, to showcase the capabilities of running AI tasks on its latest Intel Core Ultra 200V (Lunar Lake) series processors. Designed to run AI entirely on compatible systems, the app harnesses the chip maker's built-in AI accelerators and Arc GPUs. Available as a free download, AI Playground is optimized for Intel Core Ultra PCs with integrated Intel Arc GPUs or discrete Intel Arc Graphics cards featuring 8GB of memory. The latest version includes installers for the Intel Core Ultra 200V (1.21b) and Ultra-H series (1.01b), as well as Intel Arc dGPUs. For many Windows 11 users, Microsoft Copilot will be their primary - maybe only - AI experience, but privacy concerns have emerged over its controversial Recall feature and potential data sharing. AI Playground keeps all processing on the device itself, offering a more private and secure alternative for users wary of cloud-based AI. The app is designed to help users explore and understand the benefits of AI and Tom's Hardware likens it to how Microsoft added Solitaire to early versions of Windows to help users get accustomed to the mouse. Whether there's a need for such an app boils down to whether Intel can demonstrate real-world value beyond just showcasing its technology and the jury is out on that at the moment. The app's primary modes - Create, Enhance, and Answer - offer a number of tools. Create mode generates images from text prompts using SD1.5 or SDXL models, while Enhance mode supports upscaling, inpainting, and outpainting for complex image edits. Answer mode functions as a local chatbot that can process documents and answer queries, all while keeping data private by operating entirely on the user's device. The new update introduces features tailored for Ultra 200V processors, such as an exclusive theme and an improved LLM Picker preloaded with models like Phi3, Qwen2, and Mistral. Users can install their own native PyTorch LLMs too, so long as they are compatible with Transformer version 4.39. The new version also includes a Conversation Manager for saving chat sessions, a font size adjustment tool, and a preset aspect ratio picker to streamline image creation.

TechRadar

Fri, 18 Oct, 2:06 AM UTC

Ollama just made it easier to use AI on your laptop -- with no internet required

The free open-source model market just got a whole lot more interesting with the announcement that Ollama can now run HuggingFace GGUF models in an instant. The GGUF (GPT-Generated Unified Format) model format is a highly optimized file design that was created by the open-source AI community to allow for use on modest-sized consumer hardware. Typical AI models demand large computers with powerful processors and extreme amounts of memory. By compressing a model into a single GGUF file, it's easy to download over the internet and can be run on just about any decent home computer. More importantly, they can also be installed and run by non-technical users. Previously, models had to first be made available through the Ollama library to run and download on your laptop. This makes the whole process easier and HuggingFace says it will work to simplify things even further. It's probably fair to say that the GGUF format has done more to increase the popularity and availability of open-source AI than just about any other recent development, bar the release of the LlaMA family of models from Meta. There are currently over 500 GGUF model files stored on HuggingFace to choose from, covering anything from image generation to multilingual chat models. To make use of the format, users generally have to download their choice of GGUF model, and follow their software client install instructions. However, this new option provided by HuggingFace (HF) goes one step further -- as long as you already have Ollama installed on your machine. All you have to do is find your desired model on HuggingFace, click on the Use This Model button on the top right of the page, and select Ollama. This will pop up a window with the URL address of the model for copying. On Windows go to the search bar, enter in 'cmd' and hit the enter key. When the terminal window appears, paste in the URL you just copied (ctrl-V)and press enter again. At this point, Ollama will automatically download the model ready for use. Quick, easy and painless. The process on a Mac is more or less the same, just replace cmd with Terminal. It should be noted that these GGUF files can also be run using a growing variety of user clients. Some of the most popular include Jan, LMStudio and Msty. The format is also supported by the OpenWebUI chat application. The world of free open-source AI models continues to advance at a breakneck pace, in part fueled by developments like this. More and more people are finding that they can take advantage of the power and flexibility of small locally run AI, without needing a computer science degree. And the performance is getting better all the time. For example, there's a growing community of users who use local GGUF models for specialist applications, such as assisting with their home business or helping with specific language translation tasks. It's good to see that open source continues to thrive, even when up against venture capital-backed megacorps.

Tom's Guide

Wed, 23 Oct, 4:00 PM UTC

How to Run AI Large Language Models (LLM) on Your Laptop

Imagine having the power of advanced artificial intelligence right at your fingertips, without needing a supercomputer or a hefty budget. For many of us, the idea of running sophisticated language models on our personal laptops seemed like a distant dream, reserved for tech giants and research labs. But now, with LM Studio, that dream of running AI on laptops is becoming a reality. This innovative tool is designed to bring the capabilities of large language models (LLMs) directly to your laptop, making it possible to perform complex language tasks with ease. Whether you're a writer looking to generate creative content, a developer seeking to streamline code generation, or simply someone curious about AI, LM Studio is here to open up a world of possibilities. By cleverly using GPU offloading, it allows even those without high-end graphics cards to experience the full potential of LLMs. Imagine being able to generate text, translate languages, or summarize documents, all while keeping your data private and secure on your own device. With just 16 GB of RAM, your laptop can transform into a powerful AI workstation. The landscape of artificial intelligence is rapidly evolving, bringing sophisticated language processing capabilities directly to your personal devices. LM Studio stands at the forefront of this revolution, offering a robust platform for running large language models (LLMs) on laptops and desktops. This new software harnesses the power of GPU offloading, allowing even devices without high-end graphics cards to execute complex language tasks efficiently. LM Studio is more than just software; it's a bridge connecting everyday users to the innovative world of AI language models. By using advanced GPU offloading techniques, LM Studio optimizes the execution of large language models, making them accessible on standard laptops. This widespread access of AI technology opens up a world of possibilities, from enhanced productivity to creative exploration. With LM Studio, you can perform a wide array of language tasks locally, including: To ensure a smooth experience with LM Studio, your laptop should meet certain system requirements. The most crucial factor is RAM capacity. A minimum of 16 GB of RAM is recommended to handle the computational demands of large language models effectively. This requirement ensures that LM Studio can operate efficiently, providing a seamless user experience without compromising performance. While a dedicated GPU can enhance performance, LM Studio's innovative approach allows for effective operation even on systems with integrated graphics, thanks to its efficient GPU offloading capabilities. Here are more detailed guides and articles that you may find helpful on GPU offloading. Installing and configuring LM Studio to run AI on laptops is a straightforward process: 1. Visit the official LM Studio website and download the version compatible with your operating system (Mac, Windows, or Linux). 2. Verify that your system meets the minimum RAM requirements before proceeding with the installation. 3. Follow the user-friendly installation wizard to complete the setup process. 4. Once installed, launch LM Studio and familiarize yourself with the interface. 5. Download a language model to get started. Meta's Llama 3.2 1B is a popular choice for beginners due to its balance of performance and resource requirements. To get the most out of LM Studio, consider the following tips: LM Studio offers several key advantages that set it apart from cloud-based AI services: Data Privacy: By running models locally, you maintain complete control over your data, making sure sensitive information never leaves your device. Offline Capability: Work without an internet connection, making LM Studio ideal for secure environments or remote locations. Cost-Effective: Avoid subscription fees associated with online AI services by using your existing hardware. Customization: Tailor your AI experience by selecting and fine-tuning models that best suit your specific needs. As you become more familiar with LM Studio, you'll discover its versatility across various applications: LM Studio represents a significant leap forward in making advanced AI accessible to individual users and AI on laptops. By bringing the power of large language models to your portable workstation, it opens up new possibilities for creativity, productivity, and innovation. Whether you're a developer, researcher, writer, or simply an AI enthusiast, LM Studio provides the tools you need to explore the frontiers of language AI technology from the comfort of your own device.

Geeky Gadgets

Sat, 26 Oct, 12:11 PM UTC

Local AI Development with Ollama Course

Artificial Intelligence is evolving rapidly, and with tools like Ollama, you can bring cutting-edge AI capabilities directly to your local environment. Learning how to harness local large language models (LLMs) can open up a world of opportunities. Local LLMs provide greater control, customization, and data privacy compared to cloud-based AI systems. We just published a course on the freeCodeCamp.org YouTube channel that will teach you all about setting up and using Ollama to build powerful AI applications locally. This comprehensive course, created by Paulo Dichone, takes a hands-on approach to exploring Ollama, a tool designed for running LLMs efficiently on your local machine. You'll learn everything from installing and customizing models to using REST APIs and Python libraries to build real-world AI applications. By the end of the course, you'll have the skills to develop projects like a Grocery List Organizer, a Retrieval-Augmented Generation (RAG) system, and an AI-powered Recruiter Agency. This course is packed with practical knowledge and real-world applications. Here's a glimpse of the topics covered: Running AI models locally provides unique advantages: With detailed lessons, engaging projects, and expert guidance from Paulo Dichone, you'll be empowered to create AI solutions that are both innovative and impactful. Whether you're building practical applications or experimenting with new ideas, this course will equip you with the tools and knowledge to succeed. Watch now on the freeCodeCamp.org YouTube channel (3-hour watch).

freeCodeCamp.org News

Tue, 26 Nov, 10:15 PM UTC

Loveable.dev : New AI Tool That Lets You Create Apps in Minutes (No Code)

Building a full-stack application can feel like an overwhelming task, especially if coding isn't your strong suit. Even for seasoned developers, juggling backend setups, frontend design, and database integrations can quickly become a time-consuming maze. But what if you could skip the technical headaches and bring your app ideas to life without writing a single line of code? Enter Loveable.dev -- an innovative AI no-code app development platform that's rewriting the rules of app development. Whether you're a complete beginner or a developer looking to save time, this tool promises to make app creation not just possible, but refreshingly simple. Imagine being able to design a fully functional app in under 20 minutes -- complete with user authentication, database integration, and even live previews. Loveable.dev takes your ideas and transforms them into reality with just a few prompts, allowing you to focus on creativity and functionality rather than technical hurdles. From building a wealth tracker app to creating SaaS dashboards, this platform enables you to develop apps that are as polished as they are practical. Loveable.dev is transforming the way applications are built by allowing users to create full-stack apps without writing a single line of code. This AI-powered platform automates traditionally complex tasks such as backend and frontend development, database integration, and user authentication. Loveable.dev is designed to simplify app development by removing technical hurdles and offering a user-friendly experience. Using simple prompts, you can generate fully functional applications that include backend infrastructure, user interfaces, and more. The platform integrates seamlessly with widely-used tools like Supabase for database management and Stripe for payment processing, making sure scalability and security for your applications. Here are some of the standout features of Loveable.dev: These features make Loveable.dev a versatile no-code app development platform and powerful tool for anyone looking to create apps quickly and efficiently, regardless of their technical expertise. Imagine creating a wealth tracker app that monitors income, expenses, credit scores, and stock prices -- all in real time. With Loveable.dev, this process becomes straightforward and accessible. You can easily incorporate features such as financial tips, budget tracking, and goal-setting tools. The platform also allows you to design interactive dashboards that visualize expense trends and budget comparisons, providing users with a rich and engaging experience. This example highlights how Loveable.dev enables users to develop sophisticated, feature-packed applications without requiring advanced technical skills. By focusing on functionality and user experience, you can create apps that meet real-world needs and deliver value to your audience. Here are more detailed guides and articles that you may find helpful on AI development. One of the most compelling aspects of Loveable.dev is its simplicity and speed. You can build a fully functional app in under 20 minutes, making it an ideal solution for users who need quick results. The platform supports both mobile and desktop previews, allowing you to test your app's design and functionality across different devices. This ensures a seamless user experience regardless of the platform. Additionally, Loveable.dev includes a collaborative branching feature, allowing teams to work together efficiently. This feature streamlines the development process by allowing multiple users to contribute and refine the app simultaneously. Whether you're working solo or as part of a team, Loveable.dev ensures a smooth and productive workflow. Loveable.dev extends beyond basic no-code app development creation, offering advanced tools specifically designed for building Software as a Service (SaaS) products. For instance, you can create dashboards to manage API endpoints with user-friendly interfaces and backend functionality. The platform handles complex backend tasks such as authentication and database connections, freeing you to focus on enhancing the user experience and refining your app's features. These advanced capabilities make Loveable.dev an excellent choice for developers and entrepreneurs looking to create scalable and robust SaaS solutions. By automating technical processes, the platform allows you to prioritize innovation and user satisfaction. Loveable.dev's live rendering and iterative design tools enable you to make real-time adjustments to your app. This feature allows you to test and refine your designs without interrupting the development process. By providing immediate feedback on changes, the platform encourages a dynamic and responsive approach to app creation. This iterative design process ensures that your application evolves alongside your vision. Whether you're tweaking the user interface or adding new features, Loveable.dev makes it easy to adapt and improve your app as you go. When compared to other AI-powered no-code app development platforms, Loveable.dev distinguishes itself through its intuitive interface and comprehensive feature set. Unlike competitors such as B. New or V0, Loveable.dev offers a broader range of tools and a more user-friendly experience. Its seamless integration with third-party tools and emphasis on accessibility make it a versatile option for both developers and non-developers. By combining simplicity with advanced functionality, Loveable.dev provides a balanced solution that caters to a wide range of users. Whether you're building a personal project or a professional-grade application, the platform delivers the tools and support you need to succeed.

Geeky Gadgets

Fri, 17 Jan, 2:23 PM UTC

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