MLOps vs LLMOps: What Changes When the Model Is an LLM
MLOps operates machine-learning systems; LLMOps extends those practices to prompts, context, retrieval, providers, tools, evaluations and runtime behavior around large language models.
Versioning (Prompts, Models)
Versioning (Prompts, Models)
Versioning strategy for prompts and models to ensure traceability and controlled change.
Articles
What Is Context Engineering? What the Model Receives Before It Answers
Context engineering designs what information an AI model receives before inference, including prompts, retrieval, memory, application state, tool results and conversation history.
Qwen 3.6 in Production: Release Runbook, AI Rollback, and LLMOps Versioning
Qwen 3.6 is not just another model upgrade. It is a release event, a rollback scenario, and a versioning problem at the same time. This article explains how Qwen 3.6 should be handled in production through LLMOps discipline, prompt and model traceability, controlled rollout, and evidence-based rollback readiness.
New Qwen 3.5-Plus: Open-source AI is getting serious now
Discover the groundbreaking features and benefits of Alibaba's Qwen 3.5-Plus, a revolutionary open-source AI for developers.
