Statistics for topic llms
RepositoryStats tracks 654,789 Github repositories, of these 766 are tagged with the llms topic. The most common primary language for repositories using this topic is Python (390). Other languages include: Jupyter Notebook (94), TypeScript (68), JavaScript (29), Rust (16), Go (12), Shell (11)
Stargazers over time for topic llms
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AI's query engine - Platform for building AI that can answer questions over large scale federated data. - The only MCP Server you'll ever need
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Route, manage, and analyze your LLM requests across multiple providers with a unified API interface.
Modular Prompting Tool - A lightweight google chrome extension allowing developers to componentize their prompt library for better, faster prompts
A framework for fine-tuning retrieval-augmented generation (RAG) systems.
AI's query engine - Platform for building AI that can answer questions over large scale federated data. - The only MCP Server you'll ever need
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
Pocket Flow: Codebase to Tutorial
A curated list of tools, papers, and datasets for applying AI to cybersecurity tasks. This list primarily focuses on modern AI technologies like Large Language Models (LLMs), Agents, and Multi-Modal s...
🦛 CHONK your texts with Chonkie ✨ Type-friendly, light-weight, fast and super-simple chunking library
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Pocket Flow: Codebase to Tutorial
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
ContextGem: Effortless LLM extraction from documents
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and context...
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI s...
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Finetune Qwen3, Llama 4, TTS, DeepSeek-R1 & Gemma 3 LLMs 2x faster with 70% less memory! 🦥
An open-source RAG-based tool for chatting with your documents.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
A modular graph-based Retrieval-Augmented Generation (RAG) system
A visual playground for agentic workflows: Iterate over your agents 10x faster
