chatGPT-Prompt-Engineering-for-Developers and ChatGPT-Prompt-Engineering-for-Developers
Both projects are likely independent adaptations of the same "ChatGPT Prompt Engineering for Developers" course material, serving as ecosystem siblings within the broader educational landscape of prompt engineering.
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.
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.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work