Google’s new AI training method helps small models tackle complex reasoning

Google's SRL framework provides a step-by-step "curriculum" that makes LLMs more reliable for complex reasoning tasks.
The New York Times

Moon Duchin on the ‘Mathematical Quagmire’ of Gerrymandering

Why the challenge of truly representative democracy is so complex. Moon Duchin, who leads the University of Chicago’s Data and Democracy Research Initiative, explores how math can help solve ...
The Courier-Mail

Students are gaining worthless certificates through dodgy courses, a TAFE and private training inquiry reveals

STUDENTS are gaining worthless certificates through dodgey courses that lack training as basic as handling tools a TAFE and private training inquiry has revealed. A federal parliamentary inquiry ...
IEEE

Based on AHP Evaluation Model and Neural Network Backbone to Achieve Specialized and Integrated Talent Training

Abstract: Based on the talent training mode that combines innovation and entrepreneurship with professional education in applied undergraduate colleges, this paper provides a talent training mode with ...
IEEE

Deep Co-Training Partial Least Squares Model for Semi-Supervised Industrial Soft Sensing

Abstract: Data-driven soft sensing has become quite popular in recent years, which can provide real-time estimations of key variables in industrial processes. While the introduction of deep learning ...
GitHub

Inquiry About Future Support for Official Dream Training Methods and Rationale Behind Current SFT Approaches

Hi there！I noticed that the fine-tuning for the Dream series dLLMs currently supports the semi-autoregressive method (using sliced data), random-masking SFT, and AR training (standard SFT for LLMs). I ...