Interconnects
En podcast av Nathan Lambert
109 Avsnitt
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We aren't running out of training data, we are running out of open training data
Publicerades: 2024-05-29 -
Name, image, and AI's likeness
Publicerades: 2024-05-22 -
OpenAI chases Her
Publicerades: 2024-05-16 -
OpenAI's Model (behavior) Spec, RLHF transparency, and personalization questions
Publicerades: 2024-05-13 -
RLHF: A thin line between useful and lobotomized
Publicerades: 2024-05-01 -
Phi 3 and Arctic: Outlier LMs are hints
Publicerades: 2024-04-30 -
AGI is what you want it to be
Publicerades: 2024-04-24 -
Llama 3: Scaling open LLMs to AGI
Publicerades: 2024-04-21 -
Stop "reinventing" everything to "solve" alignment
Publicerades: 2024-04-17 -
The end of the "best open LLM"
Publicerades: 2024-04-15 -
Why we disagree on what open-source AI should be
Publicerades: 2024-04-03 -
DBRX: The new best open LLM and Databricks' ML strategy
Publicerades: 2024-03-29 -
Evaluations: Trust, performance, and price (bonus, announcing RewardBench)
Publicerades: 2024-03-21 -
Model commoditization and product moats
Publicerades: 2024-03-13 -
The koan of an open-source LLM
Publicerades: 2024-03-06 -
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
Publicerades: 2024-03-04 -
How to cultivate a high-signal AI feed
Publicerades: 2024-02-28 -
Google ships it: Gemma open LLMs and Gemini backlash
Publicerades: 2024-02-22 -
10 Sora and Gemini 1.5 follow-ups: code-base in context, deepfakes, pixel-peeping, inference costs, and more
Publicerades: 2024-02-20 -
Releases! OpenAI’s Sora for video, Gemini 1.5's infinite context, and a secret Mistral model
Publicerades: 2024-02-16
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
