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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.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Interact with your documents using the power of GPT, 100% privately, no data leaks
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Making large AI models cheaper, faster and more accessible
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
DSPy: The framework for programming—not prompting—foundation models
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.
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
LLM based autonomous agent that does online comprehensive research on any given topic
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Letta (fka MemGPT) is a framework for creating stateful LLM services.
🔥🕷️ Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
A framework for few-shot evaluation of language models.
[ICLR 2024] Efficient Streaming Language Models with Attention Sinks
Build ChatGPT over your data, all with natural language
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.