A high-throughput and memory-efficient inference and serving engine for LLMs
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
The open source developer platform to build AI/LLM applications and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.
โ๏ธ Build multimodal AI applications with cloud-native stack
<โก๏ธ> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
Build, Manage and Deploy AI/ML Systems
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Open-source observability for your LLM application, based on OpenTelemetry
Superduper: End-to-end framework for building custom AI applications and agents.
ZenML ๐: MLOps for Reliable AI: from Classical AI to Agents. https://zenml.io.
๐ข Open-Source Evaluation & Testing library for LLM Agents
cube studioๅผๆบไบๅ็ไธ็ซๅผๆบๅจๅญฆไน /ๆทฑๅบฆๅญฆไน /ๅคงๆจกๅAIๅนณๅฐ๏ผmlops็ฎๆณ้พ่ทฏๅ จๆต็จ๏ผ็ฎๅ็ง่ตๅนณๅฐ๏ผnotebookๅจ็บฟๅผๅ๏ผๆๆๆฝไปปๅกๆตpipeline็ผๆ๏ผๅคๆบๅคๅกๅๅธๅผ่ฎญ็ป๏ผ่ถ ๅๆ็ดข๏ผๆจ็ๆๅกVGPU่ๆๅ๏ผ่พน็ผ่ฎก็ฎ๏ผๆ ๆณจๅนณๅฐ่ชๅจๅๆ ๆณจ๏ผdeepseek็ญๅคงๆจกๅsftๅพฎ่ฐ/ๅฅๅฑๆจกๅ/ๅผบๅๅญฆไน ่ฎญ็ป๏ผvllm/ollama/mindieๅคงๆจกๅๅคๆบๆจ็๏ผ็งๆ็ฅ่ฏๅบ๏ผAIๆจกๅๅธๅบ๏ผๆฏๆๅฝไบงcpu/gpu/npu ๆ่ พ็ๆ๏ผๆฏๆRDMA๏ผๆฏๆpytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano็ญๅๅธๅผ
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
๐ค ๐๐ฒ๐ฎ๐ฟ๐ป for ๐ณ๐ฟ๐ฒ๐ฒ how to ๐ฏ๐๐ถ๐น๐ฑ an end-to-end ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป-๐ฟ๐ฒ๐ฎ๐ฑ๐ ๐๐๐ & ๐ฅ๐๐ ๐๐๐๐๐ฒ๐บ using ๐๐๐ ๐ข๐ฝ๐ best practices: ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + 12 ๐ฉ๐ข๐ฏ๐ฅ๐ด-๐ฐ๐ฏ ๐ญ๐ฆ๐ด๐ด๐ฐ๐ฏ๐ด
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
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