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Deep Papers
Arize AI
49 episodes
4 days ago
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 ...
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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.
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 ...
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
AI Benchmark Deep Dive: Gemini 2.5 and Humanity's Last Exam
Deep Papers
26 minutes
1 month ago
AI Benchmark Deep Dive: Gemini 2.5 and Humanity's Last Exam
This week we talk about modern AI benchmarks, taking a close look at Google's recent Gemini 2.5 release and its performance on key evaluations, notably Humanity's Last Exam (HLE). In the session we covered Gemini 2.5's architecture, its advancements in reasoning and multimodality, and its impressive context window. We also talked about how benchmarks like HLE and ARC AGI 2 help us understand the current state and future direction of AI. Read it on the blog: https://arize.com/blog/ai-be...
Deep Papers
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 ...