large language models Secrets
Evaluations is often quantitative, which may cause details loss, or qualitative, leveraging the semantic strengths of LLMs to retain multifaceted facts. Instead of manually designing them, you may perhaps envisage to leverage the LLM alone to formulate likely rationales for your approaching stag