Model Performance Evaluation
Tatsu discusses the evolving performance of models like Alpaca and their comparison to chat GPT. He highlights the challenges in evaluating these systems, emphasizing the importance of tail coverage for tasks beyond conversational settings. Fine-tuning shows promise for chat applications, but addressing detailed questions and specialized tasks may require more effort.In this clip
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Unsupervised Learning
Ep 11: Stanford Professor Tatsu Hashimoto on AI Biases and Improving LLM Performance
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