Prompt_Engineering and Prompt-Engineering-Guide-zh-CN

These are complements—the English-language comprehensive tutorial collection and Chinese-language guide serve different linguistic audiences learning the same prompt engineering discipline, making them mutually reinforcing resources rather than substitutes.

Prompt_Engineering
64
Established
Maintenance 17/25
Adoption 10/25
Maturity 16/25
Community 21/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 18/25
Stars: 7,253
Forks: 934
Downloads:
Commits (30d): 9
Language: Jupyter Notebook
License:
Stars: 937
Forks: 89
Downloads:
Commits (30d): 0
Language: MDX
License:
No Package No Dependents
No Package No Dependents

About Prompt_Engineering

NirDiamant/Prompt_Engineering

This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essential resource for mastering the art of effectively communicating with and leveraging large language models in AI applications.

This project provides tutorials and practical examples for crafting effective instructions to large language models (LLMs). It helps AI developers and practitioners learn how to structure their input so that AI models produce more accurate, relevant, and useful outputs. You'll find guidance on what to include in your prompts and how to refine them for better results.

AI-development natural-language-processing machine-learning-engineering LLM-fine-tuning

About Prompt-Engineering-Guide-zh-CN

yunwei37/Prompt-Engineering-Guide-zh-CN

🐙 关于提示词工程(prompt)的指南、论文、讲座、笔记本和资源大全(自动持续更新)

This guide helps AI practitioners and researchers craft better inputs (prompts) to get more accurate and useful outputs from large language models (LLMs). It compiles the latest research, learning materials, and tools related to prompt engineering. Anyone working with AI models to solve tasks like answering questions or performing complex reasoning would find this useful.

AI-development natural-language-processing machine-learning-research LLM-optimization AI-application-development

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