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Models with Large Context Window

Recently Gradient AI announced that they released the Llama 3 models with a 1M context window for both 8B and 70B sizes. And now they just dropped a 4M context window for the 8B size.

what do you think about this and models with Large Context Window?

( 2 comments | 2 points | on HN )
Re:Models with Large Context Window by PaulHoule on Thursday May 09, 2024 @08:48AM (#40307638)
I use SBERT-type models for ranking, retrieval, classification, etc.

These work properly for a document that fits in the context window but not for a document which is larger. You can cut the document into smaller pieces but it just isn’t the same.

I would like to see longer context models like that and could accept some inference cost for it.

I think the summarization-type use cases will benefit from the context window but the computational complexity of a problem posed can grow explosively as a function of problem size: so x10 context window might not really mean it can do a x10 sized problem consistently.

Re:Models with Large Context Window by stainlu on Thursday May 09, 2024 @09:18AM (#40307929)
I am using moonshot ai they cliamed to have a 2m context window