Example of a Zero-Shot COT Prompt

Comparison of Few-Shot and Zero-Shot CoT Prompting

Alternative Phrases for Triggering Chain-of-Thought Reasoning

A user wants a large language model to solve a multi-step word problem. The model's initial attempts provide only a final, incorrect answer. The user's goal is to modify the prompt to encourage the model to generate a detailed, step-by-step thought process first, which should lead to a more accurate final answer. Crucially, the user does not want to include a complete, solved example of another problem in the prompt. Which of the following prompt modifications best achieves this specific goal?

To successfully prompt a language model to generate a step-by-step thought process for a new problem, one must always include a complete, solved example of a similar problem within the prompt.

Structure of a Zero-Shot CoT Prompt for an Arithmetic Task

Identifying a Zero-Shot Reasoning Prompt

Your team is rolling out an internal LLM assistant...

You’re building an internal LLM workflow to produc...

You’re building an internal LLM assistant to help ...

You’re leading an internal enablement team buildin...

Choosing and Justifying a Prompting Strategy Under Context and Quality Constraints

Designing a Prompting Workflow for a High-Stakes, Multi-Step Task

Diagnosing and Redesigning a Prompting Approach for a Decomposed Workflow

Stabilizing an LLM Workflow for Multi-Step Policy Compliance Decisions

Debugging a Multi-Step LLM Workflow for Contract Clause Risk Triage

Designing a Robust Prompting Workflow for Multi-Step Root-Cause Analysis with Limited Examples

Zero-Shot CoT Example with Jack's Apples