“A collective SaaS product … community … you and your other SMEs in the background … the user feedback loop that you can create in that scenario.”
NC
Nick Coleman
Lawyerist Podcast ·
The Leadership in Insurance Podcast - Insurtech & Innovation · Alex Ley, Scrub AI: Specialist AI, Human Judgment and the Future of Underwriting
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Collected user corrections on model outputs, fed them back into training data to retrain models, creating a feedback loop that improves accuracy
“A collective SaaS product … community … you and your other SMEs in the background … the user feedback loop that you can create in that scenario.”
“We put a ton of time into not just model architecture, but also the data pipelines around it, how we eval the product, and having a really good RL loop around post-training and mid-training the model”
“Collect some data, train a model, then deploy; a little bit of data (couple hours) is enough for many tasks”
“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”
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