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 streamlined prompt design, version management, observability, and AI operations.

A hands-on course to learn LLMs, LLMOps, and vector databases by building, training, and deploying a real-time financial advisor LLM system.

ClearML streamlines AI/ML/LLM workflows with integrated experiment tracking, data management, MLOps/LLMOps orchestration, and model serving.

An MLOps and LLMOps framework for deploying, managing, and scaling AI systems, from singular models to complex data-centric applications, on Kubernetes.

A comprehensive practical guide and accompanying code repository for LLM engineers, covering the full lifecycle of building, deploying, and monitoring advanced LLM and RAG applications on AWS with LLMOps best practices.

Learn to build a personalized AI assistant leveraging your 'Second Brain' knowledge base using advanced LLM, RAG, and agentic techniques with MLOps best practices.

A comprehensive and curated list of the best LLMOps tools, resources, and frameworks for developers working with large language models and other AI models.

A free, hands-on course to build a production-ready LLM & RAG system, including a personalized AI replica, applying LLMOps best practices.

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