Interconnects

109 Avsnitt

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

   Publicerades: 2024-09-17
2. Futures of the data foundry business model

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

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

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

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

   Publicerades: 2024-08-28
7. Nous Hermes 3 and exploiting underspecified evaluations

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

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

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

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

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

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

    Publicerades: 2024-07-17
14. Switched to Claude 3.5

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

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

    Publicerades: 2024-06-26
17. Frontiers in synthetic data

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

    Publicerades: 2024-06-18
19. AI for the rest of us

    Publicerades: 2024-06-12
20. A realistic path to robotic foundation models

    Publicerades: 2024-06-05