Interconnects

78 Episoade

1. DBRX: The new best open LLM and Databricks' ML strategy

   Publicat: 29.03.2024
2. Evaluations: Trust, performance, and price (bonus, announcing RewardBench)

   Publicat: 21.03.2024
3. Model commoditization and product moats

   Publicat: 13.03.2024
4. The koan of an open-source LLM

   Publicat: 06.03.2024
5. 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

   Publicat: 04.03.2024
6. How to cultivate a high-signal AI feed

   Publicat: 28.02.2024
7. Google ships it: Gemma open LLMs and Gemini backlash

   Publicat: 22.02.2024
8. 10 Sora and Gemini 1.5 follow-ups: code-base in context, deepfakes, pixel-peeping, inference costs, and more

   Publicat: 20.02.2024
9. Releases! OpenAI’s Sora for video, Gemini 1.5's infinite context, and a secret Mistral model

   Publicat: 16.02.2024
10. Why reward models are still key to understanding alignment

    Publicat: 14.02.2024
11. Alignment-as-a-Service: Scale AI vs. the new guys

    Publicat: 07.02.2024
12. Open Language Models (OLMos) and the LLM landscape

    Publicat: 01.02.2024
13. Model merging lessons in The Waifu Research Department

    Publicat: 29.01.2024
14. Local LLMs, some facts some fiction

    Publicat: 24.01.2024
15. Multimodal blogging: My AI tools to expand your audience

    Publicat: 17.01.2024
16. Multimodal LM roundup: Unified IO 2, inputs and outputs, Gemini, LLaVA-RLHF, and RLHF questions

    Publicat: 10.01.2024
17. Where 2024’s “open GPT4” can’t match OpenAI’s

    Publicat: 05.01.2024
18. Interviewing Tri Dao and Michael Poli of Together AI on the future of LLM architectures

    Publicat: 21.12.2023