Interconnects
Un pódcast de Nathan Lambert
109 Episodo
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We aren't running out of training data, we are running out of open training data
Publicado: 29/5/2024 -
Name, image, and AI's likeness
Publicado: 22/5/2024 -
OpenAI chases Her
Publicado: 16/5/2024 -
OpenAI's Model (behavior) Spec, RLHF transparency, and personalization questions
Publicado: 13/5/2024 -
RLHF: A thin line between useful and lobotomized
Publicado: 1/5/2024 -
Phi 3 and Arctic: Outlier LMs are hints
Publicado: 30/4/2024 -
AGI is what you want it to be
Publicado: 24/4/2024 -
Llama 3: Scaling open LLMs to AGI
Publicado: 21/4/2024 -
Stop "reinventing" everything to "solve" alignment
Publicado: 17/4/2024 -
The end of the "best open LLM"
Publicado: 15/4/2024 -
Why we disagree on what open-source AI should be
Publicado: 3/4/2024 -
DBRX: The new best open LLM and Databricks' ML strategy
Publicado: 29/3/2024 -
Evaluations: Trust, performance, and price (bonus, announcing RewardBench)
Publicado: 21/3/2024 -
Model commoditization and product moats
Publicado: 13/3/2024 -
The koan of an open-source LLM
Publicado: 6/3/2024 -
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
Publicado: 4/3/2024 -
How to cultivate a high-signal AI feed
Publicado: 28/2/2024 -
Google ships it: Gemma open LLMs and Gemini backlash
Publicado: 22/2/2024 -
10 Sora and Gemini 1.5 follow-ups: code-base in context, deepfakes, pixel-peeping, inference costs, and more
Publicado: 20/2/2024 -
Releases! OpenAI’s Sora for video, Gemini 1.5's infinite context, and a secret Mistral model
Publicado: 16/2/2024
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
