# Google Research — ​Sequential Attention: Making AI models leaner and faster without sacrificing accuracy

- Company: Google Research (research.google)
- Announced: 2026-02-04T15:14:00+00:00
- Category: research-paper
- Subject: Research
- Source: https://research.google/blog/sequential-attention-making-ai-models-leaner-and-faster-without-sacrificing-accuracy/
- Record: https://forck.live/items/1370-sequential-attention-making-ai-models-leaner-and-faster-without-sacrificing

Google Research introduces Sequential Attention, a subset selection algorithm for making large-scale ML models more efficient by greedily selecting features, layers or blocks during training without sacrificing accuracy.

## Evidence

Verbatim from https://research.google/blog/sequential-attention-making-ai-models-leaner-and-faster-without-sacrificing-accuracy/:

> We introduce a subset selection algorithm for making large scale ML models more efficient.

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Record: https://forck.live/items/1370-sequential-attention-making-ai-models-leaner-and-faster-without-sacrificing
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