A price dilemma is unfolding across China’s AI industry as token demand grows, with coding tools and AI agents getting more prevalent Read more at The Business Times.

Discover ASELSAN’s innovative future communication technologies showcased in Spain, shaping global connectivity and defense solutions today.

DeepSeek has introduced DSpark, an open-source speculative decoding method that accelerates LLM inference by up to 85% ...

The agent, called ChatGPT Work, combines OpenAI’s popular chatbot with its AI coding tool, Codex, to create documents, ...

Any engineer currently running Eagle3 or a multi-token-prediction setup to speed up their LLM inference now has a compelling reason to look at the alternative NVIDIA's research team published Tuesday.

Tencent's Hy3 drops the license restrictions that blocked EU and U.K. deployments, cuts hallucination rates in half, and runs ...

NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...

Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

In recent days, a new large language model from China has started circulating through technical circles with an unusual mix of curiosity and skepticism attached to it. The Chinese model, GLM-5.2, ...

The open-source model combines a one-million-token context window with architectural updates aimed at lowering the cost of repository-scale AI coding.