Xavier Amatriain — Building AI-powered Primary Care

Xavier Amatriain — Building AI-powered Primary Care

Author: Lukas Biewald July 30, 2021 Duration: 50:09
Xavier shares his experience deploying healthcare models, augmenting primary care with AI, the challenges of "ground truth" in medicine, and robustness in ML. --- Xavier Amatriain is co-founder and CTO of Curai, an ML-based primary care chat system. Previously, he was VP of Engineering at Quora, and Research/Engineering Director at Neflix, where he started and led the Algorithms team responsible for Netflix's recommendation systems. --- ⏳ Timestamps: 0:00 Sneak peak, intro 0:49 What is Curai? 5:48 The role of AI within Curai 8:44 Why Curai keeps humans in the loop 15:00 Measuring diagnostic accuracy 18:53 Patient safety 22:39 Different types of models at Curai 25:42 Using GPT-3 to generate training data 32:13 How Curai monitors and debugs models 35:19 Model explainability 39:27 Robustness in ML 45:52 Connecting metrics to impact 49:32 Outro 🌟 Show notes: - http://wandb.me/gd-xavier-amatriain - Transcription of the episode - Links to papers, projects, and people --- Follow us on Twitter! 📍 https://twitter.com/wandb_gd Get our podcast on these platforms: 👉 Apple Podcasts: http://wandb.me/apple-podcasts​​ 👉 Spotify: http://wandb.me/spotify​ 👉 Google Podcasts: http://wandb.me/google-podcasts​​ 👉 YouTube: http://wandb.me/youtube​​ 👉 Soundcloud: http://wandb.me/soundcloud​

Lukas Biewald hosts Gradient Dissent: Conversations on AI, a series that moves beyond theoretical discussions to examine how artificial intelligence is actually built and deployed. Each episode features a direct, unscripted talk with a leading practitioner-you’ll hear from engineers and researchers at places like NVIDIA, Meta, Google, Lyft, and OpenAI. The focus is on the tangible challenges and breakthroughs they encounter, from initial research to the complex reality of putting models into production. This isn't about abstract futures; it's a grounded look at the decisions shaping the field right now. Biewald, bringing his perspective from Weights & Biases, steers conversations toward the practical trade-offs and collaborative efforts that define modern AI work. For anyone in technology or business who wants to understand the mechanics behind the headlines, this podcast offers a rare, candid window into the process. You’ll come away with a clearer sense of how ideas become functional systems and what it really takes to operate at the cutting edge.
Author: Language: English Episodes: 100

Gradient Dissent: Conversations on AI
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