Chain of Thought Prompting

Definition

Chain of thought prompting in AI refers to a technique where one question or prompt leads to another, creating a sequence of prompts that guide the AI system's thinking process.

Chain-of-thought (CoT) prompting is a technique in prompt engineering that encourages large language models (LLMs) to articulate their reasoning process step-by-step, leading to more accurate and insightful answers, especially for complex problems. By guiding the model to show its work, like a human would, CoT prompts help LLMs break down intricate problems into smaller, more manageable parts, ultimately enhancing their ability to solve them with greater precision.

Explain Like I'm 5

Think of chain of thought prompting like a treasure map with clues. Each clue leads you to the next one until you find the hidden treasure. In AI, one question leads to another, helping the system find the right answer.

Think of chains of thought prompting like connecting dots with a line to create a picture. Each dot represents an idea, and by connecting them in order, you can see the whole picture clearly.

Visualization

(Image of dots connected by lines to form a chain)

Digging Deeper

Chain of thought prompting is used in AI systems to guide their decision-making process. By asking a series of questions or providing prompts, the AI system can explore different paths and possibilities to reach a conclusion. This technique is often used in chatbots, recommendation systems, and problem-solving applications to engage users and gather more information before providing an answer.

Applications

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