Compound

When scalar reward isn’t enough: GEPA’s reflective prompt evolution and per-instance Pareto retention for compound AI language programs—natural-language feedback, LangProBe benchmarks, and how it compares to GRPO and MIPROv2.

Compound AI: When a single LLM call is not enough—multiple model calls, retrievers, tools, and business logic as a graph; structured output, specialist pipelines, inference stacks, and deployment granularity from a Weaviate podcast with Baseten’s Philip Kiely.