Stop Blaming LLMs for Hallucinations — You're Using a JPEG as a Database
At Gerus-lab, we've integrated AI into production systems across Web3, SaaS, and GameFi projects. And the one conversation that comes up every single time with a new client is some version of: "But what about hallucinations? Can we trust this thing?"...
gerus-lab.hashnode.dev5 min read
Ali Muwwakkil
A fascinating pattern we've observed is that hallucinations often stem from mismatched expectations rather than the LLMs themselves. Teams assume these models are like deterministic databases, but they're more akin to skilled conversationalists. The key is implementing retrieval-augmented generation (RAG) architectures to ground outputs in factual data. This approach dramatically reduces hallucinations by integrating reliable data sources directly into the model's workflow. - Ali Muwwakkil (ali-muwwakkil on LinkedIn)