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1
Introduction and Speaker Background
2
The Rise of Generative AI
3
Understanding Prompt Engineering
4
Prompt Components and Anatomy
5
Tokenization and Cost Efficiency
6
Model Selection Strategies
7
Advanced Prompt Engineering Techniques
8
Tools for Prompt Engineering
9
Handling Hallucinations and RAG Pattern
10
Future of Prompt Engineering
11
Conclusion and Call to Action
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a comprehensive conference talk that delves into the evolving field of prompt engineering, examining its potential as an art form, scientific discipline, and emerging career path. Learn about the fundamentals of generative AI, essential prompt components, and tokenization principles for cost-effective implementation. Master model selection strategies and advanced techniques while discovering practical tools for prompt engineering workflows. Understand how to address common challenges like hallucinations through the RAG (Retrieval-Augmented Generation) pattern, and gain insights into the future landscape of this rapidly growing field. Through detailed demonstrations and practical examples, gain the knowledge needed to effectively work with AI language models and potentially transition into a career in prompt engineering.

Prompt Engineering: Art, Science, or Career Path?

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