109 Épisodes

  1. [Article Voiceover] Reverse engineering OpenAI's o1

    Publié: 17/09/2024
  2. Futures of the data foundry business model

    Publié: 11/09/2024
  3. A post-training approach to AI regulation with Model Specs

    Publié: 10/09/2024
  4. OpenAI's Strawberry, LM self-talk, inference scaling laws, and spending more on inference

    Publié: 05/09/2024
  5. OLMoE and the hidden simplicity in training better foundation models

    Publié: 04/09/2024
  6. On the current definitions of open-source AI and the state of the data commons

    Publié: 28/08/2024
  7. Nous Hermes 3 and exploiting underspecified evaluations

    Publié: 16/08/2024
  8. Interviewing Ross Taylor on LLM reasoning, Llama fine-tuning, Galactica, agents

    Publié: 08/08/2024
  9. A recipe for frontier model post-training

    Publié: 07/08/2024
  10. Interviewing Sebastian Raschka on the state of open LLMs, Llama 3.1, and AI education

    Publié: 01/08/2024
  11. GPT-4o-mini changed ChatBotArena

    Publié: 31/07/2024
  12. Llama 3.1 405b, Meta's AI strategy, and the new open frontier model ecosystem

    Publié: 23/07/2024
  13. SB 1047, AI regulation, and unlikely allies for open models

    Publié: 17/07/2024
  14. Switched to Claude 3.5

    Publié: 03/07/2024
  15. Interviewing Dean Ball on AI policy: CA SB 1047, upcoming AI disaster response, Llama 3 405B, Chinese open-source AI, and scaling laws

    Publié: 27/06/2024
  16. RLHF Roundup: Trying to get good at PPO, charting RLHF's impact, RewardBench retrospective, and a reward model competition

    Publié: 26/06/2024
  17. Frontiers in synthetic data

    Publié: 21/06/2024
  18. Text-to-video AI is already abundant

    Publié: 18/06/2024
  19. AI for the rest of us

    Publié: 12/06/2024
  20. A realistic path to robotic foundation models

    Publié: 05/06/2024

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Audio essays about the latest developments in AI and interviews with leading scientists in the field. Breaking the hype, understanding what's under the hood, and telling stories. www.interconnects.ai

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