chatGPT-Prompt-Engineering-for-Developers and chatgpt-prompt-engineering-for-developers

These are duplicate implementations of the same DeepLearning.AI course content, with B being a more popular Chinese-English bilingual version of A's English-only Jupyter notebooks.

Maintenance 0/25
Adoption 8/25
Maturity 8/25
Community 21/25
Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 17/25
Stars: 64
Forks: 36
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 294
Forks: 33
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No License Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About chatGPT-Prompt-Engineering-for-Developers

ksm26/chatGPT-Prompt-Engineering-for-Developers

Jupyter notebooks for enhancing your skills with ChatGPT based prompt engineering. Harness the potential of large language models and create innovative applications.

This project offers educational materials to help developers create powerful applications using large language models like ChatGPT. It provides techniques to input various text-based data, such as user reviews or emails, and receive outputs like summaries, sentiment classifications, translated content, or automatically generated text. It's for software developers looking to integrate advanced AI text processing into their applications.

software-development AI-application-building natural-language-processing chatbot-development API-integration

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

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