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DeepSeek Debuts ‘Sparse Attention’ Next-Generation AI Model

(Bloomberg) -- DeepSeek updated an experimental AI model in what it called a step toward next-generation artificial intelligence. The secretive Chinese startup outlined the DeepSeek-V3.2-Exp platform, ...
TechCrunch

DeepSeek releases ‘sparse attention’ model that cuts API costs in half

Researchers at DeepSeek on Monday released a new experimental model called V3.2-exp, designed to have dramatically lower inference costs when used in long-context operations. DeepSeek announced the ...
Ars Technica

DeepSeek tests “sparse attention” to slash AI processing costs

Ever wonder why ChatGPT slows down during long conversations? The culprit is a fundamental mathematical challenge: Processing long sequences of text requires massive computational resources, even with ...
Forbes

The Inference Economy: How Sparse Computing And Model Optimization Are Reshaping Enterprise AI Deployment

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...
VentureBeat

OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks

OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...