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