“We then collected those corrections and then basically fed them back into the training data, retrained the models. They then got better.”
♫
Said on The Leadership in Insurance Podcast - Insurtech & Innovation
“We will license core ai models from really deep resourced company and then train those models on client data ... without having to hire 300 people”
InsTech - insurance & innovation · John Hele & Greg Framke: Portage AI: The hard 20%: where AI could create the most value in insurance (420)
Play from 24:34
24:34
Audio streams from the publisher’s own feed. Verbatim does not host or copy it.
What was described
License core AI models from a deep-resourced company, then train those models on each client’s data instead of building models in-house
Said nearby on the same subject
“You need more pre-training data… give the model a bunch of data and think… transform this data… pre-trained on it would make the model smarter”
♫
Said on "The Cognitive Revolution"
“And I'm going to put all of those as source documents in my project before I even start building the model. One of the useful things I can do is AI, go build the assumptions tab for this model.”
♫
Said on Hitchhiker's Guide to AI Governance
“We trained the final model on the SpaceX cluster ... a few weeks of pre-training, then synthetic data NRL and then shipping it”
ML
Misha Laskin Beam
No Priors: Artificial Intelligence | Technology | Startups ·
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.