Mastering LLM Techniques: Evaluation – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-27T16:00:00Z http://www.open-lab.net/blog/feed/ Amit Bleiweiss <![CDATA[Mastering LLM Techniques: Evaluation]]> http://www.open-lab.net/blog/?p=95447 2025-02-17T05:21:53Z 2025-01-29T20:44:06Z 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...

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��

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