The Challenge of Evaluating LLM’s

In this thought-provoking episode of Gradient Dissent, Percy Liang, co-founder of Together AI and Stanford University associate professor, addresses the intricacies of benchmarking language models comprehensively. Percy explains why evaluating these models requires a departure from traditional machine learning methods that focus on narrow tasks such as question answering or summarization. Instead, a holistic approach is necessary to capture the broad capabilities and identify the risks associated with language models. This discussion sheds light on the complexities of developing benchmarks …

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