4. LLM Ops Infrastructure: Model Serving, RAG Pipelines, and Observability

In this video, we break down the LLM Ops Stack the full ecosystem of components required to move a Large Language Model from a simple prototype into a reliable, scalable, and safe production environment. While the model is the heart of the system, the real complexity lies in the infrastructure surrounding it. We explore the 7 core components of a production-grade LLM system: 1. Model Serving & Inference: Managing latency, autoscaling, and cost optimization. 2. Data & Embedding Pipelines: Preparing domain data for RAG (Retrieval Augmented Generation). 3. Prompt Engineering & Orchestration: Ver…