Interconnects

96 Épisodes

1. Interviewing OLMo 2 leads: Open secrets of training language models

   Publié: 22/01/2025
2. DeepSeek R1's recipe to replicate o1 and the future of reasoning LMs

   Publié: 21/01/2025
3. Let me use my local LMs on Meta Ray-Bans

   Publié: 15/01/2025
4. (Voiceover) DeepSeek V3 and the actual cost of training frontier AI models

   Publié: 09/01/2025
5. The state of post-training in 2025

   Publié: 08/01/2025
6. Quick recap on the state of reasoning

   Publié: 02/01/2025
7. (Voiceover) 2024 Interconnects year in review

   Publié: 31/12/2024
8. (Voiceover) OpenAI's o3: The grand finale of AI in 2024

   Publié: 20/12/2024
9. (Voiceover) The AI agent spectrum

   Publié: 18/12/2024
10. (Voiceover) OpenAI's Reinforcement Finetuning and RL for the masses

    Publié: 11/12/2024
11. Interviewing Finbarr Timbers on the "We are So Back" Era of Reinforcement Learning

    Publié: 05/12/2024
12. (Voiceover) OpenAI's o1 using "search" was a PSYOP

    Publié: 04/12/2024
13. (Voiceover) OLMo 2 and building effective teams for training language models

    Publié: 26/11/2024
14. (Voiceover) Tülu 3: The next era in open post-training

    Publié: 21/11/2024
15. (Voiceover) Scaling realities

    Publié: 14/11/2024
16. (Voiceover) Saving the National AI Research Resource & my AI policy outlook

    Publié: 13/11/2024
17. Interviewing Tim Dettmers on open-source AI: Agents, scaling, quantization and what's next

    Publié: 07/11/2024
18. Interviewing Andrew Carr of Cartwheel on the State of Generative AI

    Publié: 31/10/2024
19. (Voiceover) Why I build open language models

    Publié: 30/10/2024
20. (Voiceover) Claude's agentic future and the current state of the frontier models

    Publié: 23/10/2024