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chain-of-thought

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Intermediate

Self-Consistency: Get Better Answers by Sampling Multiple Reasoning Paths

Self-consistency generates multiple chain-of-thought responses and takes the majority vote. Learn how it dramatically improves accuracy on reasoning tasks and when to use it.

4 min read
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Agents

ReAct Prompting: Reason Before You Act

ReAct is the reasoning pattern that makes agents dramatically more reliable. By explicitly writing out thoughts before every action, the model plans better, catches errors earlier, and produces work you can follow and debug.

6 min read
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Chain of Thought Prompting: The Complete Guide
ArticleFeatured

Chain of Thought Prompting: The Complete Guide

Learn how Chain of Thought (CoT) prompting forces AI models to reason step-by-step, dramatically improving results for math, logic, and complex reasoning tasks.

4 min read
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Intermediate

Chain of Thought Prompting: Make AI Reason Step by Step

Chain of Thought (CoT) prompting forces AI to show its reasoning before answering — dramatically improving accuracy on logic, math, analysis, and multi-step tasks.

5 min read
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