Synthetic Data Insights
Jacob shares his evolving perspective on the role of synthetic data in understanding large language models. He emphasizes the importance of using synthetic rather than natural data to evaluate model capabilities, as it helps mitigate biases. Additionally, he highlights the potential of small-scale experiments to reveal insights applicable to larger models, suggesting a promising path for future research.In this clip
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The Gradient
Jacob Andreas: Language, Grounding, and World Models
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