Researchers at the University of Oxford published a technical paper titled “Hardware-Managed Heterogeneous High-Bandwidth ...
A research article by Horace He and the Thinking Machines Lab (X-OpenAI CTO Mira Murati founded) addresses a long-standing issue in large language models (LLMs). Even with greedy decoding bu setting ...
The company tackled inferencing the Llama-3.1 405B foundation model and just crushed it. And for the crowds at SC24 this week in Atlanta, the company also announced it is 700 times faster than ...
“Large Language Model (LLM) inference is hard. The autoregressive Decode phase of the underlying Transformer model makes LLM inference fundamentally different from training. Exacerbated by recent AI ...
While the MTIA 400 is aimed primarily at LLM training, Meta is already working on an inference-optimized version of the chip.
Thinking Machines Lab成立7个月，估值120亿美元，首次公开研究成果：LLM每次回答不一样的真凶——kernel缺乏批处理不变性。Lilian Weng更是爆猛料：首代旗舰叫 Connection Machine，还有更多在路上。
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OpenAI, the company behind ChatGPT and Codex and the models those tools use, and Broadcom, an established silicon supplier, have announced a new chip, called Jalapeño, designed specifically for large ...
New research shows how popular LLMs are able to accurately guess a user’s race, occupation, or location, after being fed seemingly trivial chats. Reading time 4 minutes Quiz time: If you or your ...
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