STORY · FORSKNING_
Google develops sequential attention for more efficient AI models
Google Research has developed a new technique called sequential attention that reduces the size and increases the speed of AI models without compromising accuracy. The method optimizes how attention mechanisms function in transformer models.
WHY IT MATTERS
This advancement makes AI models cheaper and faster to run, accelerating the adoption of more powerful models in production and lowering the barrier for smaller organizations.
SOURCES
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