ChatGPT-Prompt-Engineering-for-Developers-in-Chinese and ChatGPT-Prompt-Engineering-for-Developers
These are complements: one provides Chinese/bilingual subtitles for the same DeepLearning.AI course that the other implements in code, enabling learners to access both localized instruction and practical coding examples together.
About ChatGPT-Prompt-Engineering-for-Developers-in-Chinese
GitHubDaily/ChatGPT-Prompt-Engineering-for-Developers-in-Chinese
《面向开发者的 ChatGPT 提示词工程》非官方版中英双语字幕 Unofficial subtitles of "ChatGPT Prompt Engineering for Developers"
Repository provides bilingual Chinese-English subtitle files organized by type (dual-language, English-only, Chinese-only) alongside Jupyter notebooks from the course, enabling learners to follow along with both video and executable code examples. The project covers nine modules on prompt engineering fundamentals, API integration, and practical applications—including sentiment classification, text summarization, translation, and chatbot development—sourced from DeepLearning.AI's official course taught by Andrew Ng and OpenAI's Iza Fulford. Community contributions improve subtitle quality through pull requests, making enterprise-grade prompt engineering techniques accessible to non-English speakers.
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.
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