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 ...
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 ...
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".
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From Giant AI to 'Building the Strongest Team': Decoding the Evolution of LLMs and Organizational Theory from Sakana AI's 'Fugu' Paper

Overview of the paper: What exactly is Fugu? Currently, in the AI industry, companies like OpenAI (GPT series), Anthropic (Claude series), and Google (Gemini series) are developing massive AI models ...

Fable 5 Breach Leaks Cryptic AI Chain of Thought Shorthand

Fable 5's chain of thought has leaked, showing math-like shorthand, while its three-layer defense classifiers block most jailbreak attempts.