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China Unicom Cracked Open-Source LLMs for Real Factory Work

China Unicom Cracked Open-Source LLMs for Real Factory Work

China Unicom tuned DeepSeek for industry: safer, sharper math reasoning, and a newbie model picker—game-changer for enterprise devs.

Open-source LLMs are taking over 2025, but China Unicom says they’re still safety disasters out-of-the-box. At the AI for Good Summit, they spilled how they’re hardening models like DeepSeek and LLaMA for brutal industrial use—better reasoning, no hallucinations, shorter answers without dumbing down.[2]

As a developer, this is gold: they boosted DeepSeek R1 on MATH 500 benchmarks, slicing fluff on easy problems while crushing hard logic. Plus, a ‘world’s first model guide’ for picking the right LLM if you’re new. Trends? Reasoning-first models dominate Arena, but safety lags—Unicom’s fixes make them deployable in factories without risking ops.[2]

Honest opinion: Western hype ignores Asia’s quiet grind on practical AI. This collab push could flood us with battle-tested open models. Enterprise folks, tried tuning DeepSeek yet? Drop your wins (or fails) below.

Source: ITU AI for Good


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