ChatGPT prompt engineering for developers
Overview
A short course by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI).
From the official site
Learn the fundamentals of prompt engineering for ChatGPT. Learn effective prompting, and how to use LLMs for summarizing, inferring, transforming, and expanding.
The text above is quoted from this tool’s official website — the vendor’s own words.
Key points from the official site
- Learning Tracks
- News The Batch
- Summarizing (e.g., summarizing user reviews for brevity)
- Inferring (e.g., sentiment classification, topic extraction)
The points above are quoted from this tool’s own website sections and feature lists — vendor copy, not our review.
How to use it
- Open deeplearning.ai, sign in and state the question this run should answer
- Import or upload the material and data to be processed
- Set the screening criteria and output structure, then run
- Review each key conclusion by hand before using it for real decisions
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