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E5: The Embedding Revolution: Anton Troynikov on Chroma, Stable Attribution, and future of AI

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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Exploring Gradient Descent and Image Scoring

This chapter examines the role of gradient descent in model output and generalization, suggesting the use of toy models for research. It also discusses the complexities of image scoring in AI, including the influence of attributes and the significance of popular prompts in shaping AI generation outcomes.

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