Home
Categories
EXPLORE
True Crime
Comedy
Society & Culture
Sports
Business
Health & Fitness
History
About Us
Contact Us
Copyright
© 2024 PodJoint
Loading...
0:00 / 0:00
Podjoint Logo
US
Sign in

or

Don't have an account?
Sign up
Forgot password
https://is1-ssl.mzstatic.com/image/thumb/Podcasts221/v4/41/5f/f4/415ff42b-f3e4-62d7-e017-6ccd1fe8b935/mza_9584984547342647834.jpg/600x600bb.jpg
Deep Papers
Arize AI
57 episodes
1 week ago
Santosh Vempala, Frederick Storey II Chair of Computing and Distinguished Professor in the School of Computer Science at Georgia Tech, explains his paper co-authored by OpenAI's Adam Tauman Kalai, Ofir Nachum, and Edwin Zhang. Read the paper: Sign up for future AI research paper readings and author office hours. See LLM hallucination examples here for context. Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.
Show more...
Mathematics
Technology,
Business,
Science
RSS
All content for Deep Papers is the property of Arize AI and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Santosh Vempala, Frederick Storey II Chair of Computing and Distinguished Professor in the School of Computer Science at Georgia Tech, explains his paper co-authored by OpenAI's Adam Tauman Kalai, Ofir Nachum, and Edwin Zhang. Read the paper: Sign up for future AI research paper readings and author office hours. See LLM hallucination examples here for context. Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.
Show more...
Mathematics
Technology,
Business,
Science
https://is1-ssl.mzstatic.com/image/thumb/Podcasts221/v4/41/5f/f4/415ff42b-f3e4-62d7-e017-6ccd1fe8b935/mza_9584984547342647834.jpg/600x600bb.jpg
Self-Adapting Language Models: Paper Authors Discuss Implications
Deep Papers
31 minutes
3 months ago
Self-Adapting Language Models: Paper Authors Discuss Implications
The authors of the new paper *Self-Adapting Language Models (SEAL)* shared a behind-the-scenes look at their work, motivations, results, and future directions. The paper introduces a novel method for enabling large language models (LLMs) to adapt their own weights using self-generated data and training directives — “self-edits.” Learn more about the Self-Adapting Language Models paper. Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on Lin...
Deep Papers
Santosh Vempala, Frederick Storey II Chair of Computing and Distinguished Professor in the School of Computer Science at Georgia Tech, explains his paper co-authored by OpenAI's Adam Tauman Kalai, Ofir Nachum, and Edwin Zhang. Read the paper: Sign up for future AI research paper readings and author office hours. See LLM hallucination examples here for context. Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.