Mastering LLM Techniques: Evaluation

Evaluating large language models (LLMs) and retrieval-augmented generation (RAG) systems is a complex and nuanced process, reflecting the sophisticated and…

Evaluating large language models (LLMs) and retrieval-augmented generation (RAG) systems is a complex and nuanced process, reflecting the sophisticated and multifaceted nature of these systems. Unlike traditional machine learning (ML) models, LLMs generate a wide range of diverse and often unpredictable outputs, making standard evaluation metrics insufficient. Key challenges include the…

Source

Leave a Reply

Your email address will not be published.

Previous post Advancing Rare Disease Detection with AI-Powered Cellular Profiling
Next post Beyond: Two Souls is being made into a TV series by Elliot Page’s production company