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DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
A programming framework for agentic AI 🤖
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
High accuracy RAG for answering questions from scientific documents with citations
AI-Driven Research Assistant: An advanced multi-agent system for automating complex research processes. Leveraging LangChain, OpenAI GPT, and LangGraph, this tool streamlines hypothesis generation,…
Lightning-fast serving engine for AI models. Flexible. Easy. Enterprise-scale.
Anthropic's educational courses
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
The fastest way to create an HTML app
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
A collection of visual guides to help applied scientists learn causal inference.
Mora: More like Sora for Generalist Video Generation
A modular graph-based Retrieval-Augmented Generation (RAG) system
The platform for building AI from enterprise data
🚀CodiumAI PR-Agent: An AI-Powered 🤖 Tool for Automated Pull Request Analysis, Feedback, Suggestions and More! 💻🔍
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).
Convert PDF to markdown quickly with high accuracy
A nanoGPT pipeline packed in a spreadsheet
🦜🔗 Build context-aware reasoning applications
Super simple build framework with fast, repeatable builds and an instantly familiar syntax – like Dockerfile and Makefile had a baby.