The Phi-4 model was trained on just 1.4 million carefully chosen prompt-response pairs. Instead of brute force, the Microsoft ...
The 54 winning counties in this year’s survey are incorporating community feedback into their plans, ensuring responsible AI use, maturing their data programs and navigating challenges without ...
Google's SRL framework provides a step-by-step "curriculum" that makes LLMs more reliable for complex reasoning tasks.
The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...
Explore how utilities and EPCs are embracing collaborative models and digital tools to accelerate power projects amid supply ...
Innovation isn't just ideation; it's a sustained problem-solution fit through testable hypotheses, lean startup methods, MVPs ...
The chains of amino acids that make up proteins are critical to every form of life. The complex ways that these proteins fold ...
Abstract: Predictive Process Monitoring (PPM) techniques leverage incomplete execution traces and historical event logs to predict outcomes, activities, and remaining time in ongoing processes.
Real-world data can provide external controls, but insufficient accrual affects all arms of a study, not just controls. Studies that used generative models to simulate more patients were limited in ...