2. Why LLM Ops Exists: Managing Complexity in Generative AI Systems

In this video, we break down the 5 core reasons why LLM Ops is essential: 1. Infrastructure & Scaling: Why LLMs require specialized hardware (GPUs) and distributed inference compared to traditional models. 2. Unstructured & Subjective Outputs: Moving beyond "correct vs. incorrect" to evaluating tone, relevance, and safety. 3. Prompts as Logic: Why prompts are now part of your application code and require versioning and regression testing. 4. Multi-Component Stacks: Understanding how RAG (Retrieval Augmented Generation), vector search, and orchestration layers complicate the pipeline. 5. Dynam…