Preventing LLMs like ChatGPT from hallucinating entirely is a challenge, but technological advancements are helping reduce hallucination rates.
Techniques such as using better models, retrieval augmented generation (RAG), larger context windows, and improved grounding can significantly reduce model hallucinations.
Hallucinations in large language models are caused by the autoregressive nature of the models and the lack of logical grounding, but advancements in model quality and techniques are making complex AI applications more feasible.