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Chain-of-ThoughtsPapers

Utilizing Chain-of-Thought Prompting to Enhance Reasoning in Large Language Models

Product DescriptionThis project investigates the role of chain-of-thought prompting in improving reasoning within large language models. It reviews diverse research papers, focusing on innovative methods like self-consistency and program-aided models. Noteworthy advancements include the use of language models in symbolic reasoning and scalable architectures such as PaLM. The project encompasses fundamental theories and practical implementations, addressing multi-context and multilingual capabilities, and aims to offer practical insights into potential real-world applications.
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