Black Friday 2024: 25+ Ways to Save on Online Learning
Uncertainty, Prompting, and Chain-of-Thoughts in Large Language Models - Part 2

Uncertainty, Prompting, and Chain-of-Thoughts in Large Language Models - Part 2

UofU Data Science via YouTube Direct link

In-context learning ICL

7 of 11
Previous
Next

7 of 11

In-context learning ICL

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Uncertainty, Prompting, and Chain-of-Thoughts in Large Language Models - Part 2

Automatically move to the next video in the Classroom when playback concludes
  1. 1 Reminders
  2. 2 Recap of the uncertainty 1st part
  3. 3 Temperature scaling
  4. 4 Bayesian approaches to calibration
  5. 5 Free-text explanations / chain-of-thoughts intro
  6. 6 Prompt-based finetuning
  7. 7 In-context learning ICL
  8. 8 Reliable ICL
  9. 9 Chain-of-thought prompting
  10. 10 FLAN-T5
  11. 11 LLaMA Chat

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.