- San Francisco
-
12:39
(UTC -07:00) - https://shubham.chaudhary.xyz
- @ylogx
Artificial Intelligence 🧠
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
FauxPilot - an open-source alternative to GitHub Copilot server
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Get a ChatGPT plugin up and running in under 5 minutes!
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
A guidance language for controlling large language models.
Interact with your documents using the power of GPT, 100% privately, no data leaks
Open-source search and retrieval database for AI applications.
QLoRA: Efficient Finetuning of Quantized LLMs
Prem App it's your personal AI in your pocket
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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: …
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Get up and running with Kimi-K2.5, GLM-5, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
A natural language interface for computers
ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration



