Tags: #llmops

An open-source LLMOps platform unifying LLM gateway, observability, evaluation, optimization, and experimentation for robust AI application development.

An open-source, developer-first LLMOps platform for streamlining prompt design, version management, observability, and collaboration in AI operations.

Learn to design, train, and deploy a real-time financial advisor LLM system using a hands-on, three-pipeline approach.

ClearML is an open-source MLOps/LLMOps solution that streamlines the entire AI workflow, from experiment management and data versioning to pipeline orchestration and model serving.

An MLOps and LLMOps framework for deploying, managing, and scaling modular, data-centric AI applications and models on Kubernetes.

A comprehensive practical guide and accompanying codebase for building, deploying, and monitoring advanced LLM and RAG applications on AWS, emphasizing LLMOps best practices.

An open-source course teaching how to build a production-ready Second Brain AI assistant leveraging LLMs, RAG, agents, and LLMOps for personal knowledge management.

A comprehensive and curated list of the best LLMOps tools, designed to help developers navigate the complex landscape of Large Language Model operations.

A free, hands-on course teaching how to build and deploy production-ready LLM and RAG systems, including a personalized 'LLM Twin', using LLMOps best practices.

An open-source LLMOps platform integrating prompt management, evaluation, and observability to accelerate reliable LLM application development.