提示工程指南

Prompt Engineering Guide is a learning resource for prompt design and LLM applications; its Chinese site covers techniques, examples, agents and limitations.

Features described on the official site

• Topics include prompt elements, zero- and few-shot prompting, prompt chains, retrieval augmentation and tool use.
• Public resources also cover agents, context engineering, model introductions, prompt injection, truthfulness and bias.

Suggested starting workflow

• Start with prompt elements and basic concepts, then choose a task-related chapter.
• Adapt a small example for the intended model with testable output requirements.
• Compare results with the limitations, revise the prompt and record failures.

These are editorial starting suggestions based on product purpose, not workflows tested by this site.

Before you use it

• Not tested hands-on here; feature descriptions come from official material.
• Pricing, regions, languages, commercial use, watermarks and export conditions have not been verified for a single plan.
• Only the resource contents and introduction were reviewed. Examples were not tested against current models, and course adverts or discounts do not establish endorsement or free eligibility.