Artwork

Content provided by Igor Melnyk. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Igor Melnyk or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Self-Taught Evaluators

16:04
 
Share
 

Manage episode 432813799 series 3524393
Content provided by Igor Melnyk. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Igor Melnyk or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This work introduces a self-improvement method for LLM evaluators using synthetic data, enhancing performance significantly without human annotations, surpassing GPT-4 and matching top reward models.

https://arxiv.org/abs//2408.02666

YouTube: https://www.youtube.com/@ArxivPapers

TikTok: https://www.tiktok.com/@arxiv_papers

Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016

Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support

  continue reading

1356 episodes

Artwork
iconShare
 
Manage episode 432813799 series 3524393
Content provided by Igor Melnyk. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Igor Melnyk or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This work introduces a self-improvement method for LLM evaluators using synthetic data, enhancing performance significantly without human annotations, surpassing GPT-4 and matching top reward models.

https://arxiv.org/abs//2408.02666

YouTube: https://www.youtube.com/@ArxivPapers

TikTok: https://www.tiktok.com/@arxiv_papers

Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016

Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

--- Support this podcast: https://podcasters.spotify.com/pod/show/arxiv-papers/support

  continue reading

1356 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide