prompt-engineering-note and chatgpt-prompt-engineering-for-developers

These are complements: one provides structured notes on prompt engineering principles while the other offers a complete course with practical examples, so learners typically use both to deepen understanding from different angles.

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 18/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 17/25
Stars: 263
Forks: 38
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 294
Forks: 33
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About prompt-engineering-note

isLinXu/prompt-engineering-note

🔥🔔prompt-engineering-note🔔🔥

This project provides comprehensive learning notes for developers looking to master prompt engineering with Large Language Models (LLMs) like ChatGPT. It distills key principles, best practices, and practical examples for various tasks, including text summarization, sentiment analysis, language translation, and automated content generation. It's designed for software developers and AI practitioners who want to integrate and build powerful applications using OpenAI's API.

AI application development Natural Language Processing Machine Learning engineering API integration Chatbot development

About chatgpt-prompt-engineering-for-developers

Kevin-free/chatgpt-prompt-engineering-for-developers

吴恩达《ChatGPT Prompt Engineering for Developers》课程中英版

This project provides notebooks and notes for Andrew Ng's 'ChatGPT Prompt Engineering for Developers' course, translated into Chinese. It helps developers learn to construct effective prompts and build new applications using LLMs and the OpenAI API. You'll get practical examples and guidance to create apps for summarizing text, inferring information (like sentiment), transforming text (like translation), and expanding content (like drafting emails).

AI application development prompt engineering LLM integration API development natural language processing

Scores updated daily from GitHub, PyPI, and npm data. How scores work