Xiao @LambdaShi
归去，也无风雨也无晴 . Think Systems in AI. Think AI in Systems. [email protected] github.com/lambda7xx Joined February 2022-
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It’s PhD / grad school application season again🌱 I’ve been getting reach out about SoPs, research fit, “should I do PhD at all??” Here's the dump of my honest thoughts from my application experience - what worked for me, and how I decided if a PhD was right for me. Wrote it…
indeed well written
indeed well written
💡 From research to production—we are thrilled to share our work! 🚀First large-scale H20 GPU deployment powering real-world business services — open-source innovation meets industrial impact. Hardware-optimized, SOTA-ready, and ops-tuned. Kudos to the teams! 📚Read more:…
💡 From research to production—we are thrilled to share our work! 🚀First large-scale H20 GPU deployment powering real-world business services — open-source innovation meets industrial impact. Hardware-optimized, SOTA-ready, and ops-tuned. Kudos to the teams! 📚Read more:…
math matters in scaling!
math matters in scaling!
Read the full post and join the conversation! 👉 sigops.org/2025/the-next-… Together with Mike Liang, @FrancisYan_, @tianyin_xu, Lidong Zhou
We are opening a new blog series at @ACMSIGOPS Blog to discuss Systems Research in the era of disruptive AI. If you'd like to share thoughts, viewpoints, and stories, please consider contributing an article! My hope is that, through the exposure and discussion, we can help…
We are opening a new blog series at @ACMSIGOPS Blog to discuss Systems Research in the era of disruptive AI. If you'd like to share thoughts, viewpoints, and stories, please consider contributing an article! My hope is that, through the exposure and discussion, we can help…
Really psyched to see this work published - Meta pushed Sandboxes in ways we've never seen before, and the results are 🔥
Really psyched to see this work published - Meta pushed Sandboxes in ways we've never seen before, and the results are 🔥
We trained the whole stack. 𝗣𝗿𝗲𝘁𝗿𝗮𝗶𝗻. 𝗦𝗙𝗧. 𝗥𝗟. 𝗢𝗽𝗲𝗻 𝘄𝗲𝗶𝗴𝗵𝘁𝘀. 𝗢𝗽𝗲𝗻 𝗺𝗲𝘁𝗵𝗼𝗱𝘀. 𝗢𝗽𝗲𝗻 𝘀𝗰𝗶𝗲𝗻𝗰𝗲. From tokens to traces. From guesses to grounded. 𝗖𝗼𝗱𝗲 𝗪𝗼𝗿𝗹𝗱 𝗠𝗼𝗱𝗲𝗹 is here 50+ pages Report. Ckpts. Code. ai.meta.com/research/publi…
We trained the whole stack. 𝗣𝗿𝗲𝘁𝗿𝗮𝗶𝗻. 𝗦𝗙𝗧. 𝗥𝗟. 𝗢𝗽𝗲𝗻 𝘄𝗲𝗶𝗴𝗵𝘁𝘀. 𝗢𝗽𝗲𝗻 𝗺𝗲𝘁𝗵𝗼𝗱𝘀. 𝗢𝗽𝗲𝗻 𝘀𝗰𝗶𝗲𝗻𝗰𝗲. From tokens to traces. From guesses to grounded. 𝗖𝗼𝗱𝗲 𝗪𝗼𝗿𝗹𝗱 𝗠𝗼𝗱𝗲𝗹 is here 50+ pages Report. Ckpts. Code. ai.meta.com/research/publi…
Very excited to teach CS329A: Self-Improving AI Agents, with @achowdhery for the second time in 2025! Course website: cs329a.stanford.edu
Very excited to teach CS329A: Self-Improving AI Agents, with @achowdhery for the second time in 2025! Course website: cs329a.stanford.edu
Tri Dao (creator of FlashAttention) says there are 3 kinds of inference we will need to optimize for: > traditional chatbot workloads w/ fast enough to feel responsive but not instantaneous, to maintain a natural user experience > low-latency ultra-fast inference for highly…
The main branch of sglang now supports deterministic inference with user-specified per-request seeds! It utilized kernels from @thinkymachines and introduced new optimizations & coverage. Run out of box for most hardware backends and pytorch versions.
The main branch of sglang now supports deterministic inference with user-specified per-request seeds! It utilized kernels from @thinkymachines and introduced new optimizations & coverage. Run out of box for most hardware backends and pytorch versions.
Some random thoughts I've been having about video world model/long video generation since working on Mixture of Contexts (whose title could also be "Learnable Sparse Attention for Long Video Generation"): 🚨Semi-long Post Alert🚨 1. Learnable sparse attention is still underrated…
Some random thoughts I've been having about video world model/long video generation since working on Mixture of Contexts (whose title could also be "Learnable Sparse Attention for Long Video Generation"): 🚨Semi-long Post Alert🚨 1. Learnable sparse attention is still underrated…
very inspiring read
腾讯开源了一个LLM推理加速项目：FastMTP，输出质量无损，实现了平均2.03倍的加速 比如说，原来AI一个问答10秒，现在可能5秒不到，体验更流畅 FastMTP主要在推理阶段通过增强多词元预测来改进投机解码，比传统的逐词生成方式，在保持输出质量无损的同时，实现平均2.03倍的加速…
Jeff Dean, Google's Chief Scientist, tells a student what it's like to be a computer scientist. v/@JeffDean
读了前几天Google发表的Agent经济的论文，大概总结： 1. AI Agent组成的经济体正在形成，且规模会非常大 。 2. 如果放任不管，Agent经济体和会现实世界直接打通。这很危险，因为第一，AI世界如果金融“闪崩”可能会连带拖垮现实的经济，…
动手学大模型？上海交大的《Dive into LLMs》系列超赞！从微调预训练模型，到提示工程、知识编辑、越狱攻击，甚至多模态模型和GUI代理自动化任务，全是 Jupyter 笔记本实战。还和华为合作推出本地化开发全流程，适合从零起步的你！🚀 #AI #LLMs github.com/Lordog/dive-in…
Big day for AI agents! Tongyi Lab (@Ali_TongyiLab) just dropped half a dozen new papers, most focused on Deep Research agents. I’ll walk you through the highlights in this thread. (1/N)
Finally, we’ve released Tongyi DeepResearch, the most powerful open-source deep research model!
Finally, we’ve released Tongyi DeepResearch, the most powerful open-source deep research model!
Rethinking the Relationship Between Learning Rate and Batch Size (Part III): Muon kexue.fm/archives/11285
Maria @maria_roth82
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Hanchen Li @lihanc02
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gokul@CoRL2025 @gokulp01
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Ziyue (Monica) Piao @ParkZiyue
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Junyao Shi @JunyaoShi
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MIT EECS @MITEECS
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Princeton Laboratory ... @PrincetonAInews
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Oier Mees @oier_mees
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tut_ml @tut_ml
23K Followers 169 Following We are providing Machine Learning Blogs on every important topic @ https://t.co/RIxNezrfe0. Our aim is to clear doubts who want to learn Machine Learning. Get one blog daily.
Haoran Qiu @haoran_qiu98
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Barret Zoph @barret_zoph
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DAIR.AI @dair_ai
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