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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.
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Mathematics
Technology,
Business,
Science
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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
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Scalable Chain of Thoughts via Elastic Reasoning
Deep Papers
28 minutes
5 months ago
Scalable Chain of Thoughts via Elastic Reasoning
In this week's episode, we talk about Elastic Reasoning, a novel framework designed to enhance the efficiency and scalability of large reasoning models by explicitly separating the reasoning process into two distinct phases: thinking and solution. This separation allows for independent allocation of computational budgets, addressing challenges related to uncontrolled output lengths in real-world deployments with strict resource constraints. Our discussion explores how Elastic Reasoning ...
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.