“We have an algorithm that will determine the best model… for 99% of the tasks… we spend $15-$5 million in AI-related spend… frontier models are used only for supervision”
♫
Said on Prof G Markets
“Enterprises are using, on average about 10 to 20% of the model capabilities.”
Everyday AI Podcast - An AI and ChatGPT Podcast · Ep 876: The Most Important AI Model You’ll Probably Never Use That Just Dropped (Replay)
Play from 16:48
16:48
Audio streams from the publisher’s own feed. Verbatim does not host or copy it.
What was described
argues that enterprises are only using 10-20% of frontier model capabilities, making mid-tier fine-tuned models more cost-effective
10-20%
Said nearby on the same subject
“We trained for 90 steps, with three seeds for each fine-tuned character model, nine runs in total… using Impossible Bench… broken tests… model could only get the reward if it tampered with the tests.”
♫
Said on LessWrong (Curated & Popular)
“We asked inkling to fine tune itself using tinker. The model wrote its own fine tuning job, ran it and evaluated the result.”
♫
Said on Everyday AI Podcast - An AI and ChatGPT Podcast
“You may need a bit of fine-tuning of your probes so that they work on each person's particular fine-tuned model”
EB
Eric Bigelow
"The Cognitive Revolution" ·
Moments like this, every Monday
The strongest new moments on your topics, in the speakers' own words. Free for three topics.
No card. No password. One-click unsubscribe.
Track a competitor?
Pro watches up to 25 names or phrases and emails you the morning after they are said.
See Pro, $29 a monthVerbatim quotes a short extract and links to the episode; the episode belongs to its publisher. Remove a show.