Prompt Chaining for Reasoning Pipelines in Python
Udacity Blog

EDITOR BRIEF
The excerpt uses a baking example to show that giving one broad instruction can lead to unpredictable results. It introduces prompt chaining as a way to break a complex task into smaller steps, helping a system handle each part in order.
INSIGHTS
For beginners, this is a useful pattern for building AI apps that solve multi-step problems. Try splitting one prompt into a sequence of smaller prompts and compare the results to a single large request.
Learn more with these courses
CodeFriends courses that build on this story. Practice in the browser with nothing to install.
- Introduction to Prompt EngineeringLearn technical prompting techniques to get the best answers from AI.Beginner15 Hours
- Python Programming 101Learn Python in just 20 hours! Kickstart your programming journey with this beginner-friendly course.Beginner20 Hours
- AI LiteracyNot an era of watching AI, but of working alongside it. Build your AI fundamentals—from how AI works to agents—with no coding required.Beginner6 Hours
COMMENTS
Loading comments…