THE BEST SIDE OF LARGE LANGUAGE MODELS

Evaluations is often quantitative, which may cause facts loss, or qualitative, leveraging the semantic strengths of LLMs to retain multifaceted details. Rather than manually creating them, you might consider to leverage the LLM alone to formulate potential rationales with the forthcoming action.In textual unimodal LLMs, text is the exclusive medium