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Jacob Andreas: Language, Grounding, and World Models

The Gradient: Perspectives on AI

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Exploring Language Models as Agents

This chapter examines the role of language models as representations of agents, focusing on their observations, internal states, and language predictions. It highlights the evolution of foundational frameworks, the significance of synthetic data for model evaluation, and the complexities surrounding the interpretation of simplified examples versus real-world applications.

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