Overview
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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.
Syllabus
Introduction and Speaker Background
The Rise of Generative AI
Understanding Prompt Engineering
Prompt Components and Anatomy
Tokenization and Cost Efficiency
Model Selection Strategies
Advanced Prompt Engineering Techniques
Tools for Prompt Engineering
Handling Hallucinations and RAG Pattern
Future of Prompt Engineering
Conclusion and Call to Action
Taught by
Conf42