chatgpt-prompt-engineering-for-developers and DeepLearning.AI-ChatGPT-Prompt-Engineering-for-Developers

Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 20/25
Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 18/25
Stars: 25
Forks: 28
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 28
Forks: 12
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

jojoee/chatgpt-prompt-engineering-for-developers

Jupyter Notebook for https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/

This course helps you master the art of crafting effective prompts for large language models (LLMs) like ChatGPT, enabling you to build powerful AI applications. You'll learn strategies for various use cases, from summarization and inference to transformation and expansion of text. This is designed for developers who want to integrate LLMs into their software and create intelligent features.

AI-application-development prompt-optimization LLM-integration software-engineering text-generation

About DeepLearning.AI-ChatGPT-Prompt-Engineering-for-Developers

ginny100/DeepLearning.AI-ChatGPT-Prompt-Engineering-for-Developers

All notebooks from the (currently) free course ChatGPT Prompt Engineering for Developers offered by DeepLearning.AI and OpenAI

This resource provides practical examples and guided exercises for crafting effective instructions to Large Language Models like ChatGPT. It helps you understand how to structure your prompts to get the desired text output, whether that's summaries, transformations, or expanded content. This is for anyone who wants to improve their ability to interact with AI language models for various text-based tasks.

AI interaction prompt design AI text generation content creation AI workflow optimization

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