llm-course wurde von mlabonne vor 1 Jahr(en) erstellt und zuletzt vor 23 Tag(en) aktualisiert.
Investment Research for Everyone, Everywhere.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, and more.
🍒 Cherry Studio is a desktop client that supports for multiple LLM providers. Support deepseek-r1
High quality resources & applications for LLMs, multi-modal models and VectorDBs
Code review powered by LLMs (OpenAI GPT4, Sonnet 3.5) & Embeddings ⚡️ Improve code quality and catch bugs before you break production 🚀 Lives in your Github/GitLab/Azure DevOps CI
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
:robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video, Images, Voice Cloning, Distributed, P2P inference
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral). Get started - free.
A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
🤖 Open-source GenBI AI Agent that empowers data-driven teams to chat with their data to generate Text-to-SQL, charts, spreadsheets, reports, and BI. 📈📊📋🧑💻
An Open Source Machine Learning Framework for Everyone
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.