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Stanford CS25: Transformers United V6 I Distinct Modes of Generalization from Parameters and Context

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-educationMay 7, 2026This seminar covers: • Two methods for teaching information to language models: training (updating parameters) or in-context learning (providing information in prompts)• Striking differences in the types of generalization that models make when they learn information via these two routes• Three different strategies that can help bridge the gap, based on data augmentation, retrieval, and RLUploaded 20-05-26Follow along with the seminar schedule. Visit…

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