Large language models (LLM) have seen significant advances in recent years, generating text with quality that was previously unimaginable. But LLMs also suffer from a serious problem: albeit human-like and fluid, the text they generate can be factually wrong.
How to make LLMs get their facts right
How to make LLMs get their facts right
How to make LLMs get their facts right
Large language models (LLM) have seen significant advances in recent years, generating text with quality that was previously unimaginable. But LLMs also suffer from a serious problem: albeit human-like and fluid, the text they generate can be factually wrong.