Cost and speed
Sequential Attention: Making AI models leaner and faster without sacrificing accuracy
Our short summary of Google’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on research.google (opens in a new tab)Problem
Large models run slowly and cost too much, hurting product speed and budget.
Solution
They created Sequential Attention, a greedy algorithm that picks the most useful layers or features during training, trimming the model without losing accuracy.
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on research.google (opens in a new tab)