Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
AI-Assisted Programming for Web and Machine Learning

You're reading from   AI-Assisted Programming for Web and Machine Learning Improve your development workflow with ChatGPT and GitHub Copilot

Arrow left icon
Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781835086056
Length 602 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (5):
Arrow left icon
Marina Fernandez Marina Fernandez
Author Profile Icon Marina Fernandez
Marina Fernandez
Ajit Jaokar Ajit Jaokar
Author Profile Icon Ajit Jaokar
Ajit Jaokar
Anjali Jain Anjali Jain
Author Profile Icon Anjali Jain
Anjali Jain
Christoffer Noring Christoffer Noring
Author Profile Icon Christoffer Noring
Christoffer Noring
Ayşe Mutlu Ayşe Mutlu
Author Profile Icon Ayşe Mutlu
Ayşe Mutlu
+1 more Show less
Arrow right icon
View More author details
Toc

Table of Contents (25) Chapters Close

Preface 1. It’s a New World, One with AI Assistants, and You’re Invited FREE CHAPTER 2. Prompt Strategy 3. Tools of the Trade: Introducing Our AI Assistants 4. Build the Appearance of Our App with HTML and Copilot 5. Style the App with CSS and Copilot 6. Add Behavior with JavaScript 7. Support Multiple Viewports Using Responsive Web Layouts 8. Build a Backend with Web APIs 9. Augment Web Apps with AI Services 10. Maintaining Existing Codebases 11. Data Exploration with ChatGPT 12. Building a Classification Model with ChatGPT 13. Building a Regression Model for Customer Spend with ChatGPT 14. Building an MLP Model for Fashion-MNIST with ChatGPT 15. Building a CNN Model for CIFAR-10 with ChatGPT 16. Unsupervised Learning: Clustering and PCA 17. Machine Learning with Copilot 18. Regression with Copilot Chat 19. Regression with Copilot Suggestions 20. Increasing Efficiency with GitHub Copilot 21. Agents in Software Development 22. Conclusion 23. Other Books You May Enjoy
24. Index

Prompting strategy

The prompting strategy is a bit dependent on the chosen AI tool, how it works, and how we prompt. GitHub Copilot is our chosen AI tool for this chapter, and we will focus mostly on its in-editor experience where you type prompts in open files. The approaches we will show throughout this chapter are the following:

  • Inline comments: This means we will write prompts directly in open files. You can add prompts this way at the top of the file and also add additional supporting prompts where you’re trying to have your AI assistant build specific code blocks.
  • Chat: We will not show this approach that much, but we do recommend using the chat just to compare and contrast or if you need to look up specific information or want advice on how to implement something.

The general recommendation throughout this book is that you use a blended approach of both using prompts directly in open files “in-editor” and typing prompts in the chat windows. These approaches come with their pros and cons. As for prompt pattern, we’re going to be using the “Exploratory prompt pattern” as described in Chapter 2.

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image