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.
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 ...

Waterloo's PAW compiles task specs into 23MB LoRA adapters a 600M-parameter model runs entirely offline.

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...
India Today on MSN

The BharatGen story: From tumse na ho payega to karke dikhayenge, chasing India's DeepSeek moment

This is the inside story of how a group of academic visionaries, engineers, and industry veterans are building the foundational infrastructure for India's own "DeepSeek moment".

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 ...
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 ...
Geeky Gadgets

Fable 5 Breach Leaks Cryptic AI Chain of Thought Shorthand

The recent jailbreak of Fable 5, an advanced AI model developed by Enthropic, has reignited concerns about the security and transparency of artificial intelligence. Despite its robust defenses, ...