Surprising Model Performance
Tatsu shares how their model surprised them by handling diverse tasks beyond expectations with minimal data, highlighting the importance of a strong base model. The shift to the llama model marked a significant improvement in capabilities, showcasing the impact of fine-tuning on performance.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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