#大语言模型#A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
#大语言模型#A high-throughput and memory-efficient inference and serving engine for LLMs
#大语言模型#Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
#大语言模型#Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling
#大语言模型#本项目旨在分享大模型相关技术原理以及实战经验(大模型工程化、大模型应用落地)
#大语言模型#Run any open-source LLMs, such as Llama, Mistral, as OpenAI compatible API endpoint in the cloud.
#大语言模型#🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
Open-source observability for your LLM application, based on OpenTelemetry
#大语言模型#Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command ...
#大语言模型#ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
翻译 - ZenML:通过可重现的管道将Zen带入您的ML
#大语言模型#Dynamic RAG for enterprise. Ready to run with Docker,⚡in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
#大语言模型#From RAG chatbots to code assistants to complex agentic pipelines and beyond, build LLM systems that run better, faster, and cheaper with tracing, evaluations, and dashboards.
#计算机科学#RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
#大语言模型#🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
An open-source visual programming environment for battle-testing prompts to LLMs.