Zero-Shot Prompting | Complete OpenAI API GPT Python Tutorial - Part 4

Sahil Vohra · Beginner ·🧠 Large Language Models ·1y ago

Key Takeaways

Builds zero-shot prompting using OpenAI API and GPT in Python

Original Description

This video is part of a full Udemy course which will be uploaded soon on Udemy. Zero-shot prompting allows you to perform complex tasks without needing to provide any specific examples. Learn how to leverage this powerful feature to create intelligent and versatile applications. In This Video: 🔍 Introduction to Zero-Shot Prompting: Understand the basics of zero-shot prompting and its significance. 💡 Creating Effective Prompts: Tips and techniques for crafting prompts that yield accurate and relevant responses. Timestamps: 00:00 - Introduction to documentation 00:34 - Explanation of Zero-Shot Prompting 01:15 - Experimenting in OpenAI Playground 01:48 - Coding the API request 03:18 - Writing the Prompt 06:30 - Testing the Response Other courses: RAG LLMOps in GCP - Deploying a Retrieval Augmented Generation LLM in GCP infrastructure project: https://youtu.be/39PGfKA50As Source code for these tutorials: https://github.com/Sahilvohra58/open_ai_api_tutorials If you found this video helpful, please give it a thumbs up 👍, subscribe to our channel 🔔, and leave a comment below if you have any questions or topics you want us to cover next! Follow Us: Youtube: https://www.youtube.com/@sahilvohra8892 LinkedIn: https://www.linkedin.com/in/sahil-vohra/ Github: https://github.com/Sahilvohra58/ Thank you for watching, and happy coding! 🚀
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Chapters (6)

Introduction to documentation
0:34 Explanation of Zero-Shot Prompting
1:15 Experimenting in OpenAI Playground
1:48 Coding the API request
3:18 Writing the Prompt
6:30 Testing the Response
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