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刚刚摘要

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Stanford Online

Stanford CS329A Self-Improving AI Agents | Part 9 | Future Research Areas

AI 摘要 Self-improving agents utilize test-time and train-time scaling, driven by verifiers and reinforcement learning to enhance reasoning in domains like math and coding. Achieving generalization requires diverse reasoning chains, often generated by multi-agent systems or iterative…

  • LLMs (Large Language Models)
  • Test-time Scaling
  • Train-time Scaling

English摘要 · 转录

Easy German: Learn German with native speakers | Deutsch lernen mit Muttersprachlern

710: Warum lebt Manuel so ordentlich?

AI 摘要 Die persönliche Organisation und das Streben nach Ordnung stehen im Mittelpunkt, wobei die Diskussion die neurobiologischen Grundlagen von ADHS und das Konzept der Neurodiversität beleuchtet. Während feste Systeme für manche Menschen eine notwendige Stütze im Alltag darstellen,…

  • DSGVO
  • Truth Social
  • ADHS

30:59German摘要 · 转录

Stanford Online

Stanford CS329A Self-Improving AI Agents | Part 7 | Self-Improvement and Deep Research Agents

AI 摘要 Improving large language model performance relies on leveraging search within the model's output space to curate high-quality solutions. AlphaCode demonstrated that massive-scale sampling, combined with filtering and clustering, allows models to solve complex competitive…

  • AlphaCode / AlphaCode 2
  • HumanEval
  • Gemini Pro

English摘要 · 转录

The Audit Podcast

IA on AI - Fall 2026 Audit Analytics & AI Conference: Key Takeaways

AI 摘要 The fall 2026 Audit Analytics & AI Conference emphasized practical, production-ready AI applications for internal audit departments. Effective strategies include persona-based reporting, where AI agents tailor communication styles to specific stakeholder preferences, and…

  • Benford's Law
  • Persona-based reporting
  • Shadow IT

19:15English摘要 · 转录

Stanford Online

Stanford CS329A Self-Improving AI Agents | Part 6 | Train Time Scaling/Scaling RL

AI 摘要 Train time scaling enhances AI reasoning capabilities by allowing models to learn from their own outputs, effectively substituting compute for parameter count. This approach leverages verification-rich domains like mathematics and coding to create closed-loop feedback systems.…

  • Train Time Scaling
  • Test Time Scaling
  • AIME (American Invitational Mathematics Examination)

English摘要 · 转录

更多新节目

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    Motley Fool Hidden Gems Investing

    摘要29 min
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    Foundation for the Study of Cycles (FSC)

    摘要
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    Huberman Lab

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    Level Up: Make No BS Career Breakthroughs

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    The Journal.

    摘要18 min
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    摘要00:09:07
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    Level Up: Make No BS Career Breakthroughs

    摘要32 min
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    Level Up: Make No BS Career Breakthroughs

    摘要42 min
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    A Life Engineered

    摘要1 h 17 min
  18. EP 188: The Wild West of Optical, Cisco's AI Hack, and Is Compute an Investable Asset

    The Circuit

    摘要56 min
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    The Great Simplification with Nate Hagens

    摘要01:35:47
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    摘要30 min
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    Hidden Brain

    摘要01:26:25
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    Tom Bilyeu's Impact Theory

    摘要01:51:13
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  24. Ep. 25 - DYLAN IS HERE, LIVE! | Dylan Patel & Jordan Nanos

    SemiAnalysis

    摘要
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    This New Way

    摘要00:48:23
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