Fine-tuning from Thought Process: A New Approach to Imbue LLMs with True Professional Personas

This article discusses a novel approach to fine-tuning large language models (LLMs) to create more authentic professional personas. It argues that simply instructing an LLM to "act as an expert" results in superficial responses because the underlying thought processes are not truly emulated. The article suggests a method that goes beyond stylistic imitation and incorporates job-specific thinking processes into the persona. This could lead to more nuanced and valuable applications of LLMs in professional contexts, moving beyond simple role-playing.

• •LLMs often lack genuine expertise when instructed to adopt a persona.
• •True professional personas require emulating underlying thought processes.
• •Fine-tuning based on thought processes can create more authentic personas.