Tech Times

LLM Data Mixture Breaks When Training Pools Shift: Causal Inference Offers Fix

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
IEEE

When Aware Haze Density Meets Diffusion Model for Synthetic-to-Real Dehazing

Abstract: Image dehazing is an important preliminary step for downstream vision tasks. Existing deep learning-based methods have limited generalization capabilities for real hazy images because they ...
Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
InfoQ

Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...

Recursive Self-Improvement is the Human Skill We Need in the AI Age

While there have been many sober warnings about AI and recursive self-improvement, Arianna Huffington argues that it is a ...