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

Free-text explanations / chain-of-thoughts intro

5 of 11

5 of 11

Free-text explanations / chain-of-thoughts intro

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.

Someone learning on their laptop while sitting on the floor.