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

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Maintenance 0/25
Adoption 10/25
Maturity 8/25
Community 17/25
Stars: 25
Forks: 23
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

Ryota-Kawamura/ChatGPT-Prompt-Engineering-for-Developers

In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.

This course teaches developers how to leverage large language models (LLMs) to build new applications quickly. You'll learn to input text and prompts to generate summaries, extract information, translate languages, or even draft emails. This is for software developers, AI engineers, and product managers looking to integrate AI capabilities into their products.

AI-powered application development Natural Language Processing Software engineering Product development AI 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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