What is GLM-5.2: China’s AI model challenging Anthropic’s Claude Fable 5 in coding and long-context reasoning

In recent days, a new large language model from China has started circulating through technical circles with an unusual mix ...

DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%

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

Speculative Decoding Bottleneck Broken: DFlash Hits 15x on Blackwell GPUs

Large language models have a speed problem that goes beyond raw hardware. Even on the fastest GPUs available, the standard autoregressive loop — generate one token, wait, generate the next — leaves ...

Explained: How China is narrowing the AI gap with the US one model at a time

Just when the AI industry’s attention seemed fixed on OpenAI, Google and Anthropic, a new Chinese model has stolen the ...
techtimes

DeepSeek Releases DSpark: Speculative Decoding Makes V4 Up to 85 Percent Faster

In this photo illustration, the DeepSeek app is displayed on an iPhone screen on January 27, 2025 in San Anselmo, California. Newly launched Chinese AI app DeepSeek has surged to number one in Apple's ...

Intel gets a $170 billion AI reason to matter again

Intel’s AI comeback case now has a $170 billion hook.
i-SCOOP

Token minimizing, how to cut LLM costs without losing quality

Token minimizing is the fastest way to lower LLM costs and latency. Learn practical techniques: prompt trimming, compaction, ...
EE World Online

Why small language models win at the Edge

By Pietro Antonio Ciclese, Senior Technical Marketing Engineer, Ambarella The workloads that generate the most commercial ...