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Learner Reviews & Feedback for ChatGPT Prompt Engineering for Developers by DeepLearning.AI
1,249 ratings
About the Course
Go beyond the chat box. Use API access to leverage LLMs into your own applications, and learn to build a custom chatbot.
In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications. Using the OpenAI API, you’ll be able to quickly build capabilities that learn to innovate and create value in ways that were cost-prohibitive, highly technical, or simply impossible before now. This short course taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI) will describe how LLMs work, provide best practices for prompt engineering, and show how LLM APIs can be used in applications for a variety of tasks, including:
- Summarizing (e.g., summarizing user reviews for brevity)
- Inferring (e.g., sentiment classification, topic extraction)
- Transforming text (e.g., translation, spelling & grammar correction)
- Expanding (e.g., automatically writing emails)
In addition, you’ll learn two key principles for writing effective prompts, how to systematically engineer good prompts, and also learn to build a custom chatbot. All concepts are illustrated with numerous examples, which you can play with directly in our Jupyter notebook environment to get hands-on experience with prompt engineering
Top reviews
SS
Dec 24, 2024
I think this project is great start to use LLM features like summarizing, inferring, transforming and expanding. By using these, a chatbot can be developed for small useful purposes. Thank you.
SK
Jul 29, 2024
Overall this course taught the core principle of prompting and showed with simple examples. The professors insisting on process to iteratively improve is super powerful.
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226 - 228 of 228 Reviews for ChatGPT Prompt Engineering for Developers
By Dipak K R
•May 24, 2024
No assignments at all! :(
By Shazir H
•Aug 16, 2024
there should be some practical exercise or certificate