Common Reasoning

Multi-Agent AI for Generating Chain-of-Tanking Training Data

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Multi-Agent AI for Generating Chain-of-Tanking Training Data

Chain-nighting reasoning, where a large language model (LLM) is asked not only to perform multistep actions, but to explain its reasons for taking the steps it makes has been shown to improve LLMS ‘reasoning. A promising use of chain-of-tank (COT) Reasoning is to ensure that LLMS complies with the responsible-IA police. Using COT to optimize … Read more

Teaching language models to reason consistently

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Teaching language models to reason consistently

Teaching large language models (LLMS) to reason is an active research topic in natural linguistic treatment, and a popular approach to this problem is the so-called chain-of-tank paradigm, where a model is not only asked to give an end to giving rational For its answer. The structure of the type of prompt used to induce … Read more