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Your LLM Prompts Suck - Here's How to Fix Them

Shaw Talebi via YouTube

Overview

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Learn five essential best practices for writing effective LLM prompts based on guidelines from OpenAI, Anthropic, and Google in this 13-minute tutorial. Discover how to provide clear and specific instructions that eliminate ambiguity and guide the AI toward desired outputs. Master the use of structured text formatting including delimiters, bullet points, and organized sections to improve prompt clarity and response quality. Explore the power of few-shot prompting by incorporating relevant examples that demonstrate the expected format and style of responses. Understand how to provide appropriate context and background information to help LLMs generate more accurate and relevant outputs. Learn the meta-approach of using LLMs themselves to refine and improve your prompts through iterative feedback. Access practical examples and real-world applications throughout each technique, with timestamps provided for easy navigation between topics. Gain insights from established AI companies' official documentation and research to elevate your prompt engineering skills and achieve better results from language models.

Syllabus

Introduction - 0:00
Tip 1: Provide Clear Instructions - 0:37
Tip 2: Use Structured Text - 3:18
Tip 3: Give Examples - 6:08
Tip 4: Give Context - 7:50
Tip 5: Use an LLM - 9:33
What's Next? - 11:33

Taught by

Shaw Talebi

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