PandaBearLab/prompt-tutorial resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1326 stars · 110 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Chinese-language tutorial series teaching prompt engineering for large language models like ChatGPT. It covers core principles such as clear instructions, structured output, few-shot prompting, and iterative prompt refinement, with practical examples for summarization, inference, translation, and chatbot building.

Use cases

• learn how to write effective prompts for chatgpt
• prompt engineering tutorial for beginners
• how to get structured output from llms
• learn few-shot prompting techniques
• improve llm summarization and extraction results
• understand llm hallucinations and limitations
• prompt frameworks like CRISPE

When to choose

• you are a non-technical reader wanting a gentle introduction to prompt engineering
• you prefer Chinese-language learning material with worked examples
• you want practical, task-based prompt recipes (summarize, translate, classify, generate emails)

When to avoid

• you need advanced or research-level prompt engineering techniques
• you require an English-language resource
• you want a maintained software tool rather than a written course

Facets

learning-resource · maturity active

prompt-engineering nlp chatbot documentation large-language-models tutorials artificial-intelligence cross-platform prompt-engineering chatgpt llm tutorial chinese course natural-language-processing web-server

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markdown · JSON · MCP: product_card(name="PandaBearLab/prompt-tutorial")