Sign up to save your podcasts
Or
Share [QA] OLMOTRACE: Tracing Language Model Outputs Back to Trillions of Training Tokens
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
[QA] OLMOTRACE: Tracing Language Model Outputs Back to Trillions of Training Tokens
OLMOTRACE is a real-time system that traces language model outputs to their training data, enabling users to explore fact-checking, hallucination, and creativity in language models.
https://arxiv.org/abs//2504.07096
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
View all episodes
By Igor Melnyk
5
33 ratings
OLMOTRACE is a real-time system that traces language model outputs to their training data, enabling users to explore fact-checking, hallucination, and creativity in language models.
https://arxiv.org/abs//2504.07096
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
More shows like Arxiv Papers
View all
Exchanges
960 Listeners
Odd Lots
1,923 Listeners
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
432 Listeners
The Daily
112,277 Listeners
All-In with Chamath, Jason, Sacks & Friedberg
9,920 Listeners
Hard Fork
5,509 Listeners
UnHerd with Freddie Sayers
217 Listeners
Unsupervised Learning with Jacob Effron
49 Listeners
Latent Space: The AI Engineer Podcast
93 Listeners
BG2Pod with Brad Gerstner and Bill Gurley
466 Listeners