Evaluating Language Models
Evaluating natural language models presents unique challenges, particularly when assessing conversational abilities. While automated metrics can gauge correctness, human preference remains the gold standard, albeit at a higher cost. Exploring alternatives like direct preference optimization and reinforcement learning with AI feedback could streamline the evaluation process, potentially enhancing model alignment with human responses.In this clip
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Super Data Science: ML & AI Podcast with Jon Krohn
767: Open-Source LLM Libraries and Techniques — with Dr. Sebastian Raschka
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