Local is an AI tool or resource for chat, research, automation, media generation, or model development.
Elicit
Elicit is an organization whose GitHub page describes it as an AI research assistant, with the stated mission to scale up good reasoning. The account hosts repositories including a machine learning curriculum for learning about foundation models and example usages of the Elicit API.
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0Local is an AI tool or resource for chat, research, automation, media generation, or model development.
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0TavernAI 2 is a desktop AI roleplay chat app distributed as a portable app for Windows and Linux, also installable on a VPS. It runs models locally or connects to built-in and custom AI provider integrations, with branching chats, dynamic participants, a Prompt Manager, and custom AI games.
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Petals is a project for running large language models at home, BitTorrent-style. Users load part of a model and join a network of people serving its other parts. It supports generating text with Llama 3.1, Mixtral, Falcon and BLOOM and fine-tuning them on a consumer-grade GPU or Google Colab.
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0SiteGPT is a platform that builds custom AI customer support chatbots trained on a website's content. The chatbots answer visitor questions, support over 95 languages, and can be used for lead generation. The service integrates with various tools and provides features such as a knowledge base, multichannel support, and an onboarding process.
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0Ollama is a tool for running and building with open AI models locally or in the cloud on macOS, Windows and Linux. Its pricing page lists Free, Pro, Max, Team and Enterprise subscription plans, with paid plans including usage credits and cloud model access. The Free plan includes running models locally and starter usage credits.
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A web tool for choosing an AI model that fits a given GPU. Users select a GPU or enter VRAM, then check compatibility by VRAM, bandwidth, and context size. Minimum context window, tokens per second, and required features can be set, and optional system RAM enables offloading to extend context windows or run larger models at reduced speed.
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