Mastering Prompt Engineering: Zero-Shot & Few-Shot Prompting | Prompt Engineering : Part 2

This Prompt Engineering Tutorial will help you learn Zero-Shot Prompting and Few-Shot Prompting from scratch. You will understand how AI models generate responses without examples and how providing sample inputs improves their accuracy. Everything in this tutorial is explained with relevant examples, so you will actually know how to implement Zero-Shot and Few-Shot Prompting effectively in real-world applications. 0:00 - Introduction to the Lecture 0:16 - What is Zero-Shot Prompting? 0:54 - Use Case 1: Writing a Formal Business Email 1:55 - Use Case 2: Content Categorization 3:23 - Use Case 3: Language Translation 4:26 - What is Few-Shot Prompting? 5:02 - Why Use Few-Shot Prompting? 6:43 - Real-World Applications of Few-Shot Prompting 9:09 - Example: Generating Product Descriptions 11:48 - Example: Extracting Structured Information from OCR Data 14:00 - How Few-Shot Prompting Works 16:34 - Tips for Using Few-Shot Prompting Effectively 18:02 - Limitations of Few-Shot Prompting 18:52 - Strategies to Overcome Challenges 19:45 - Avoiding Overfitting in Few-Shot Prompting 21:28 - Conclusion and Summary Here is the link for Git repository -https://github.com/cloudxlab Drop us a mail at [email protected] in case of any query. To know more about CloudxLab visit - https://cloudxlab.com/ Follow us on social media for the latest updates- Facebook- https://www.facebook.com/cloudxlab/ Instagram- https://www.instagram.com/cloudxlab Twitter- https://www.twitter.com/cloudxlab LinkedIn- https://www.linkedin.com/company/cloudxlab