Fine-Tuning Models.pdf

1909.08593.pdf
Preview of Fine-Tuning Models
🔗 Source: arxiv.org
📊 Size: 944 KB
👤 Author: Daniel M. Ziegler* , Nisan Stiennon* , Jeffrey Wu , Tom B. Brown , Alec Radford , Dario Amodei , Pau
⬇️ Downloads: 237

Summary

Researchers fine-tuned language models using reinforcement learning from human preferences, achieving good results on stylistic continuation and summarization tasks with limited human comparisons, and found that online data collection outperformed offline collection for summarization but not for stylistic continuation.

Description

Researchers fine-tuned language models using reinforcement learning from human preferences, achieving good results on stylistic continuation and summarization...

Technical Information

  • File Format: PDF
  • File Size: 944 KB
  • Pages: 26
  • Language: EN
  • Author: Daniel M. Ziegler* , Nisan Stiennon* , Jeffrey Wu , Tom B. Brown , Alec Radford , Dario Amodei , Pau
  • Total Downloads: 237
  • Last Updated: 12 hours ago

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This PDF document about Fine-Tuning Models provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Fine-Tuning Models.

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