Microsoft's new AI training method eliminates bloated system prompts without sacrificing model performance

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...
Journal of Medical Internet Research

How to Design, Create, and Evaluate an Instruction-Tuning Dataset for Large Language Model Training in Health Care: Tutorial From a Clinical Perspective

How to Design, Create, and Evaluate an Instruction-Tuning Dataset for Large Language Model Training in Health Care: Tutorial From a Clinical Perspective J Med Internet Res 2025;27:e70481 ...
IEEE

Training a Dynamic Growing Mixture Model for Lifelong Learning

Abstract: Lifelong learning (LLL) defines a training paradigm that aims to continuously acquire and capture new concepts from a sequence of tasks without forgetting. Recently, dynamic expansion models ...
Ars Technica

Waymo leverages Genie 3 to create a world model for self-driving cars

Google-spinoff Waymo is in the midst of expanding its self-driving car fleet into new regions. Waymo touts more than 200 million miles of driving that informs how the vehicles navigate roads, but the ...
ZDNet

OpenAI's new GPT-5.3-Codex is 25% faster and goes way beyond coding now - what's new

GPT-5.3-Codex helped debug and deploy parts of itself. Codex can be steered mid-task without losing context. "Underspecified" prompts now produce richer, more usable results. OpenAI today announced ...
GitHub

ML-GSAI/Concat-ID

May 7, 2025: We have released both the training and inference scripts for Concat-ID based on Wan2.1-T2V-1.3B, designed for single-identity scenarios. In this release, we introduce an additional AdaLN ...
IEEE

Dynamically Perceived Forgery Conditional Diffusion Model for Scientific Image Tampering Localization

Abstract: Recently, image tampering localization techniques for scientific publications have attracted increasing attention due to the prevalence of data manipulation and the integrity issue of image ...