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The New Rules of Prompt Engineering - Complete Guide

Bart Slodyczka via YouTube

Overview

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Explore OpenAI's GPT-4.1 prompting guide through this comprehensive 46-minute video tutorial that breaks down the major differences between GPT-4.1 and its predecessors and how these changes impact prompting strategies. Learn about agentic workflows and AI agents, discover optimal context size considerations, and master prompt structuring techniques with visual breakdowns using Excalidraw. Understand system prompt reminders, tool calls and descriptions, and planning methodologies including chain of thought reasoning. Examine how to combine instruction following with reasoning capabilities, optimize chain of thought prompts, and build effective prompts while addressing common errors. Study the recommended output structure for prompts, proper use of XML tags as delimiters, and tool naming conventions for improved accuracy. Gain practical insights for optimizing prompts whether currently using GPT-4.1 or planning to upgrade, with detailed coverage of prompt structure best practices and final optimization tips.

Syllabus

00:00 Introduction and Overview
00:45 Visual Learning and Key Takeaways
03:36 Importance of GPT-4.1
03:57 Agentic Workflows and AI Agents
10:00 Optimal Context Size and Prompt Structuring
12:37 System Prompt Reminders and Techniques
19:51 Tool Calls and Descriptions
24:32 Planning and Chain of Thought
25:23 Tool Call Context and Reasoning
25:58 Combining Instruction Following and Reasoning
26:36 Optimising Chain of Thought Prompts
27:57 Building Effective Prompts
30:22 Addressing Common Errors
32:13 Prompt Structure and Delimiters
36:53 Final Tips and Conclusion

Taught by

Bart Slodyczka

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