How Sparse Attention Cuts AI Costs by 90% (and Makes the Impossible Affordable)
Автор: Deep Tech Diaries with Yasha
Загружено: 2025-08-11
Просмотров: 38
Most people think AI’s limits are about data or model size — but in reality, computational cost is the real bottleneck.
In this video, I explain how a mathematical optimization called sparse attention is transforming AI’s economics by:
Reducing computation costs for long-sequence processing by up to 90%
Making large-scale analysis affordable for organizations of any size
Enabling new business applications that were once impossible
We’ll cover:
The simple math behind the cost savings
A real-world analogy (it involves a conference and a million conversations!)
How to choose the right attention pattern for your business
Use cases across legal, finance, customer service, and R&D
If you want your AI to do more while costing less, this is where to start.
Subscribe for more practical AI and optimization strategies for business leaders.
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