LLM Hallucinations Are Compression Artifacts — And That Changes Everything About How We Build AI Products
LLM Hallucinations Are Compression Artifacts — And That Changes Everything About How We Build AI Products
At Gerus-lab, we've shipped over 14 AI-powered products. And we kept hitting the same wall: hallucinations. We tried prompting tricks, RAG, fine...
gerus-lab.hashnode.dev7 min read
Ali Muwwakkil
In our experience with enterprise teams, we've found that hallucinations often stem from inadequate context rather than just compression artifacts. When implementing Retrieval-Augmented Generation (RAG) frameworks, some teams overlook the importance of updating and curating their knowledge bases. This can cause the model to rely on outdated or incomplete data, leading to hallucinations. Regularly refreshing data sources and integrating feedback loops can significantly reduce these errors. - Ali Muwwakkil (ali-muwwakkil on LinkedIn)