The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) · Why Jev Is Changing How We Build With AI with Diogo Almeida
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apply logit bias to tool-call logits so the model preferentially selects desired tools and avoids context-heavy native tool calls
“We're actually able to bias the model based off of the direct user feedback using some of these like online training methodologies. We're able to see like real upticks in user satisfaction, completion rates, decreased tool call failures”
“…one of our tools called AMI, an assistive tool that we've tested with a variety of hospitals…now involved in a nationwide trial…”
“A separate copy of the model that’s running on the tool calls to judge whether it’s a safe thing to do… or if it is safe, is it what the user asked for”
“The fix is a tool called the Opportunity Evaluator… terms stands for the time, energy, resources, money, and sanity”
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