Using LLMs in Information Retrieval (w/ Ronak Pradeep)
Neural Search Talks — Zeta Alpha
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Challenges and Strategies in Model Distillation
This chapter delves into the complex process of creating smaller, more efficient language models from larger ones, addressing the challenges posed by noisy training data. The speakers share methodologies for refining training data, emphasizing techniques that enhance model performance and learning outcomes.
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