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A high-throughput and memory-efficient inference and serving engine for LLMs
Fully local web research and report writing assistant
An example repository for getting started with the Agent Inbox and LangGraph
New user experiences for interacting with agents
Universal LLM Deployment Engine with ML Compilation
High-performance In-browser LLM Inference Engine
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
AdalFlow: The library to build & auto-optimize LLM applications.
DSPy: The framework for programmingānot promptingālanguage models
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Build LangChain Applications on AWS
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small languaā¦
Any model. Any hardware. Zero compromise. Built with @ziglang / @openxla / MLIR / @bazelbuild
Desktop app for prototyping and debugging LangGraph applications locally.
Streamlit and LangGraph Intersection Starters, LangGraph with Streamlit, Streamlit with LangGraph
Full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit
The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.
The giskard_hub library allows you to interact with the Giskard Hub, a platform that centralizes the validation process of LLM applications, empowering product teams to ensure all functional, businā¦
š¢ Open-Source Evaluation & Testing for AI & LLM systems
One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure