Completed
LLMs Are Human-Level Prompt Engineers
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
How to Steer Foundation Models - Techniques for Optimizing Language and Image Tasks
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 Internet-scale Generative Models
- 3 Instruction Matters
- 4 Prompt Matters
- 5 Warm-up example
- 6 Automatic Prompt Engineer (APE)
- 7 Example - Find the antonyms
- 8 LLMs Are Human-Level Prompt Engineers
- 9 Zero-shot Chain-of-Thought
- 10 Can we find better zero-shot CoT
- 11 Steer LLMs to be more Truthful and Informative
- 12 Which of the images are generate?
- 13 Improve image classification with foundation model
- 14 Steering generators with out-of-distribution data
- 15 Generate more data by interpolation
- 16 Visualization on standard benchmarks
- 17 Comparison with real dataset
