AI Feedback Loops
The conversation delves into the iterative process of training AI models, highlighting the importance of human feedback in refining outputs. Jacob explains how initial models struggled with context and accuracy, leading to the development of reward systems that gauge the quality of responses. This evolving feedback mechanism is crucial for enhancing AI applications across various fields, including law and medicine.In this clip
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