Chain of Thought (COT) prompting | Complete OpenAI API GPT Python Tutorial - Part 6

This video is part of a full Udemy course which will be uploaded soon on Udemy. Chain of thought prompting can enhance the reasoning and output of the API by structuring prompts to guide the thought process step by step. In This Video: 🔍 Introduction to Chain of Thought Prompting: Understand the concept of chain of thought prompting and how it improves the API's response quality. 💡 Crafting Chain of Thought Prompts: Techniques for designing prompts that guide the API through a logical sequence of steps. 📊 Practical Examples: Demonstrations of a chain of thought prompting applied to various scenarios and tasks. Timestamps: 00:00 - Comparision With Other Prompting 02:00 - Understanding With Example 03:25 - Coding the Example 04:25 - Zero-Shot COT Prompting 06:00 - Coding Zero-Shot COT 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! 🚀