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1
Why the prompt report is important
2
What is a prompt
3
Training vs. prompting
4
The six major categories of prompt taxonomy
5
Prompt templates
6
Zero-shot
7
Emotion prompting
8
Few-shot
9
Example quality
10
Label distribution
11
Label quality
12
Example in Oxen AI of prompt
13
Example format
14
Example similarity
15
Thought generation
16
Comparing different prompt approaches
17
Financial sentiment analysis example
18
Few-shot chain of thought
19
Uncertainty-routed chain of thought prompting
20
Decomposition
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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. Read more

The Prompt Report: Understanding Prompting Techniques and Taxonomy - Part 1

Oxen
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