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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

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Free-text explanations / chain-of-thoughts intro

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

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  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

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