Chain Of Thought Prompting
Chain-of-thought prompting is a technique that elicits step-by-step intermediate reasoning from a language model — either by instructing it to 'think step by step' or by providing worked examples that reason before answering — which has been shown to substantially improve performance on tasks requiring arithmetic,…
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Glossary Terms(5)
Chain-of-Thought Prompting
Chain-of-thought prompting is a technique that elicits step-by-step intermediate reasoning from a language model — either by instructing it to 'think step by s…
Tree of Thoughts
Tree of Thoughts (ToT) is a prompting and inference framework that generalizes chain-of-thought reasoning by having a language model explore multiple alternati…
ReAct Prompting
ReAct (Reasoning and Acting) is a prompting framework that interleaves a language model's step-by-step reasoning with concrete actions, such as tool or API cal…
In-Context Learning
In-context learning is the ability of a large language model to adapt its behavior on a new task using only examples or instructions provided in the prompt, wi…
Prompt Chaining
Prompt chaining is a technique for solving complex tasks by breaking them into a sequence of smaller LLM calls, where the output of one prompt becomes the inpu…