Dexa/Unsupervised Learning

Model Improvement Insights

Tatsu discusses the significance of base LM and supervised fine tuning in model development. Reinforcement learning subtly influences answer structure, bridging the gap between human perception and model output.

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Unsupervised Learning
Ep 11: Stanford Professor Tatsu Hashimoto on AI Biases and Improving LLM Performance
Related Questions
- Is reinforcement learning a turning point for large language models (LLMs) and artificial intelligence (AI)?