Tom Chen on Muck Rack

Tom Chen

Zhejiang Sheng
As seen in: Color Research & Application, Nature, Wiley Online Library, Yahoo Finance, Yahoo Finance UK, BMJ Open, JAMA (The Journal of the American Medical Association), JAMA Oncology, Medscape, Cell Reports Medicine and
Multimedia journalist, videographer, living and working in NYC. Video Producer at ARTINFO.com
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Articles

DeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Miles

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By Tom Chen, Ying Sheng, Mingyi Lu
| lmsys.org
The SGLang and Miles TeamApril 25, 2026 We are thrilled to announce Day-0 support for DeepSeek-V4 across both inference and RL training. SGLang and Miles form the first open-source stack to serve and train DeepSeek-V4 on launch day — with systems purpose-built for its hybrid sparse-attention architecture, manifold-constrained hyper-connections (mHC), and FP4 expert weights. Figure 1. Decode throughput of SGLang vs the other OSS engine on a 30K-token prompt truncated from "Dream of the Red Chamber".
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Upgrade to unlock to Pro Perks

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By David Zuber, Tom Chen, Brian Barfoot
| BiggerPockets
Hi Jason! Glad to see another new investor from Syracuse! I would say the best place to start is looking on the MLS or Craigslist and start analyzing deals. Even if the deal wont work out, the effort of analyzing it will help you recognize a good deal when you see it. Make sure you have specific search criteria you are interested in to filter on, otherwise your head will be spinning with all the active listings. By this I mean if you only want single family homes then dont look at Multi family.
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Scaling Trust, Earning Customer Love: The Reality of AI Voice Agents

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By Tom Chen
| Speech Technology Magazine
Voice remains the most human and the most demanding channel in customer experience. It's real-time, high-stakes, and emotionally nuanced. While automation has transformed email, chat, and self-service channels, voice has long resisted large-scale automation, and now large language models have offered glimpses into a more automated future.
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