Explore a comprehensive 57-minute video lecture diving into Part 1 (categories 1-3) of The Prompt Report: A Systematic Survey of Prompting Techniques. Learn fundamental concepts starting with the importance of prompt engineering, basic definitions, and the distinction between training and prompting approaches. Master six major categories of prompt taxonomy, with detailed explanations of prompt templates, zero-shot learning, and emotion prompting techniques. Gain practical insights through examples using Oxen AI, including format considerations, similarity analysis, and thought generation processes. Examine various prompting approaches through comparative analysis, featuring a financial sentiment analysis case study. Advance to more complex concepts like few-shot chain of thought, uncertainty-routed chain of thought prompting, and decomposition methods. Access supplementary materials including the original research paper, detailed notes, and community resources through provided links to enhance learning experience.
The Prompt Report: Understanding Prompting Techniques and Taxonomy - Part 1
Overview
Syllabus
Why the prompt report is important
What is a prompt
Training vs. prompting
The six major categories of prompt taxonomy
Prompt templates
Zero-shot
Emotion prompting
Few-shot
Example quality
Label distribution
Label quality
Example in Oxen AI of prompt
Example format
Example similarity
Thought generation
Comparing different prompt approaches
Financial sentiment analysis example
Few-shot chain of thought
Uncertainty-routed chain of thought prompting
Decomposition
Taught by
Oxen
