Great work on fast long-context prefill. TokenGate is a trainable module that works with existing models to make long-context inference much more efficient.
TokenGate speeds long-context prefill by skipping unimportant tokens
AIMatei Zaharia praises fast long-context prefill and describes TokenGate, a trainable module that works with existing models to make long-context inference much more efficient. Liana Patel introduces Token-Gated Language Models, which conditionally forward only tokens that matter for up to 11x faster prefill.
Matei ZahariaVerified on X
@matei_zaharia
Introducing ✨Token-Gated Language Models✨ for up to 11x faster prefill by learning to skim context, conditionally forwarding only tokens that matter. Akin to the shift from dense models to MoEs, the next frontier of efficient LLMs is conditional computation over a new scaling axis: context tokens🧵👇
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Matei Zaharia · x.comPublished · added here
Original title: Great work on fast long-context prefill. TokenGate is a trainable module that works with existing models to make long-context inference m...