Building Blocks for Foundation Model Training and Inference on AWS
Foundation model development today scales across three channels: pre-training, post-training, and test-time compute, with AWS showing how its infrastructure—accelerators, networking, and storage—works with open-source tools like PyTorch, Kubernetes, and Prometheus to enable efficient training and inference.
AI-Native Healthcare: 100 Million Doctor Visits, 10–20 Hours Saved, Authorizations in Minutes
Abridge, the AI company for clinical documentation, scales to 80+ million patient conversations annually across 250 U.S. health systems; with new $300 million funding, it expands from ambient scribing to a comprehensive clinical intelligence platform for prior authorization, decision support, and intelligent workflow a
Insights from China’s AI Labs: Cultural Differences Shape Research
American and Chinese AI labs have similar resources and talent, but differ fundamentally in organizational culture, with American labs driven more by individual career ambition while Chinese teams focus on the overarching goal of optimal model development—a difference with measurable impact on outcomes.
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