Grounding helps avoid nonsensical or factually incorrect hallucinations, which are unacceptable for most applications. At the same time, developing techniques t

Grounding helps avoid nonsensical or factually incorrect hallucinations, which are unacceptable for most applications. At the same time, developing techniques to improve the base LLM and narrow the context window is important for achieving more natural and engaging conversations in domains the model is skilled at. An LLM-powered system will only feel truly 'revolutionary' if it exhibits a balance of both capabilities.