Tech Xplore

Adaptive drafter model uses downtime to double LLM training speed

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...

Cincinnati companies recalibrate workforce approach amid rising costs and talent strain

By rethinking traditional structures and embracing integrated insurance, HR, benefits, and retirement strategies, Cincinnati ...
Microsoft

Developer-targeting campaign using malicious Next.js repositories

A developer-targeting campaign leveraged malicious Next.js repositories to trigger a covert RCE-to-C2 chain through standard ...
InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.