109 Epizód

  1. (Voiceover) OpenAI's o3: The grand finale of AI in 2024

    Közzétéve: 2024. 12. 20.

  2. (Voiceover) The AI agent spectrum

    Közzétéve: 2024. 12. 18.

  3. (Voiceover) OpenAI's Reinforcement Finetuning and RL for the masses

    Közzétéve: 2024. 12. 11.

  4. Interviewing Finbarr Timbers on the "We are So Back" Era of Reinforcement Learning

    Közzétéve: 2024. 12. 05.

  5. (Voiceover) OpenAI's o1 using "search" was a PSYOP

    Közzétéve: 2024. 12. 04.

  6. (Voiceover) OLMo 2 and building effective teams for training language models

    Közzétéve: 2024. 11. 26.

  7. (Voiceover) Tülu 3: The next era in open post-training

    Közzétéve: 2024. 11. 21.

  8. (Voiceover) Scaling realities

    Közzétéve: 2024. 11. 14.

  9. (Voiceover) Saving the National AI Research Resource & my AI policy outlook

    Közzétéve: 2024. 11. 13.

  10. Interviewing Tim Dettmers on open-source AI: Agents, scaling, quantization and what's next

    Közzétéve: 2024. 11. 07.

  11. Interviewing Andrew Carr of Cartwheel on the State of Generative AI

    Közzétéve: 2024. 10. 31.

  12. (Voiceover) Why I build open language models

    Közzétéve: 2024. 10. 30.

  13. (Voiceover) Claude's agentic future and the current state of the frontier models

    Közzétéve: 2024. 10. 23.

  14. Interviewing Arvind Narayanan on making sense of AI hype

    Közzétéve: 2024. 10. 17.

  15. (Voiceover) Building on evaluation quicksand

    Közzétéve: 2024. 10. 16.

  16. Interviewing Andrew Trask on how language models should store (and access) information

    Közzétéve: 2024. 10. 10.

  17. How scaling changes model behavior

    Közzétéve: 2024. 10. 09.

  18. [Article Voiceover] AI Safety's Crux: Culture vs. Capitalism

    Közzétéve: 2024. 10. 02.

  19. Interviewing Riley Goodside on the science of prompting

    Közzétéve: 2024. 09. 30.

  20. [Article Voiceover] Llama 3.2 Vision and Molmo: Foundations for the multimodal open-source ecosystem

    Közzétéve: 2024. 09. 27.

3 / 6

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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