The Ledger
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Jamil: Writing in the Margins avoids re-prefilling tokens, halving compute cost
“Again, to the language model to generate the answer, and it would cost you another million, because the model has to reprocess this prefilling again of one million tokens, so it would cost you two million tokens, but with writing in the margins, it would cost …”
Masking out prior KV cache tokens pushes autoregressive transformers out of distribution
“The token number two in the KVCache is a contextualized version of the token zero, one, and two. So if you tell the model to only look at the last tokens you are creating an autoregressive model that is generating the logits of a P of let's say X, but only loo…”
Jamil: KV Cache Prefilling Scales Quadratically While Token Generation Is Linear
“Token generation, which means generating one token using whatever is in the kvcash, is linear with respect to whatever is in the side of the kvcash. Prefilling the kvcash is quadratic, and mostly because it's quadratic, it's very expensive, so we are talking a…”