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Hi Jeff,
Yes. You are right!
We focus more on the sparse mode, such as MoE.
Sandy
发自我的zMail
Original
From:jefftant.ietf<[email protected]>
To:张征00007940;
Cc:[email protected];pim<[email protected]>;
Date:2025-07-22 14:43:52
Subject:Re: [pim] Re: LLM?
Sandy,
Perhaps you should be more specific, there are LLMs that are based on dense transformers architecture where multicast on not really applicable.
Cheers,
Jeff
On Jul 21, 2025, at 23:27, [email protected] wrote:
Yes. Large language model.
Sandy
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From:Stevens,Jim<[email protected]>
To:pim<[email protected]>;
Date:2025-07-21 16:43:30
Subject:[pim] Re: LLM?
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Date: Fri, 18 Jul 2025 18:10:43 +0800 (CST)
From: <[email protected]>
Subject: [pim] Invitation to the "Multicast in LLM" side meeting
(Tuesday July 22, 9:45 - 11:00 in room El Escorial)
To: <[email protected]>
Hi,
If you are familiar with LLM, or are interested in network layer multicast, and want to use network layer multicast to assist in implementing LLM's multicast operations, please come to the side meeting to discuss.
What do you mean by LLM?
· Large Language Model AI? (my assumption, but want to double check)
· Low Latency Messaging?
· Or?
Thanks,
Sandy
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