How does the "Chain of Thought" prompting technique enhance inductive reasoning in large language models?
Last Updated: 21.06.2025 07:47
“The sky is blue. It is daytime. There are no clouds.” CoT uses Lego thoughts—simple bricks or concepts—to promote inference in LLM. If the Lego “chunks” are each composed of several Lego pieces, the conclusions are more subject to cooked spaghetti or a Jackson Pollock style of painting; the “keep the pieces simple” format helps keep the “reasoning” onto a more secure, railroad-track-style output. Slightly related: the 2 books brought up by the search phrases “heidegger what is called thinking” and “prophet soulless one” may be of heuristic value.