Interconnects

96 Épisodes

1. Model commoditization and product moats

   Publié: 13/03/2024
2. The koan of an open-source LLM

   Publié: 06/03/2024
3. Interviewing Louis Castricato of Synth Labs and Eleuther AI on RLHF, Gemini Drama, DPO, founding Carper AI, preference data, reward models, and everything in between

   Publié: 04/03/2024
4. How to cultivate a high-signal AI feed

   Publié: 28/02/2024
5. Google ships it: Gemma open LLMs and Gemini backlash

   Publié: 22/02/2024
6. 10 Sora and Gemini 1.5 follow-ups: code-base in context, deepfakes, pixel-peeping, inference costs, and more

   Publié: 20/02/2024
7. Releases! OpenAI’s Sora for video, Gemini 1.5's infinite context, and a secret Mistral model

   Publié: 16/02/2024
8. Why reward models are still key to understanding alignment

   Publié: 14/02/2024
9. Alignment-as-a-Service: Scale AI vs. the new guys

   Publié: 07/02/2024
10. Open Language Models (OLMos) and the LLM landscape

    Publié: 01/02/2024
11. Model merging lessons in The Waifu Research Department

    Publié: 29/01/2024
12. Local LLMs, some facts some fiction

    Publié: 24/01/2024
13. Multimodal blogging: My AI tools to expand your audience

    Publié: 17/01/2024
14. Multimodal LM roundup: Unified IO 2, inputs and outputs, Gemini, LLaVA-RLHF, and RLHF questions

    Publié: 10/01/2024
15. Where 2024’s “open GPT4” can’t match OpenAI’s

    Publié: 05/01/2024
16. Interviewing Tri Dao and Michael Poli of Together AI on the future of LLM architectures

    Publié: 21/12/2023