Last updated on September 4, 2025 by the editorial team
Original): Katherine Munro
Originally published in the direction of artificial intelligence.
Concrete tips for teams building grades powered by LLM
My last post concerned conceptual problems related to the use of large language models to assess other LLM.
The article discusses the practical challenges related to the use of large language models (LLM) as judges in the assessment, emphasizing such problems as the hypoplasm in both assessed LLM and the assessors themselves, causing errors and prejudices inherent in LLM. It emphasizes the importance of human supervision, the complexity of a thorough assessment of LLM results and the need for comprehensive assessment indicators to ensure credible assessments, while warning against excessive rely on automated assessment.
Read the full blog for free on the medium.
Published via AI
