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KBLaM blog | A flowchart illustrating the process of handling a prompt using a language model. The process begins with documents being used to construct and summarize a knowledge base (KB) offline. The summarized KB is then encoded and fed into the main process. A prompt goes through a tokenizer, followed by rectangular attention, and then into the large language model (LLM). The LLM retrieves information from the encoded KB to generate an answer.
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| Taketomo Isazawa, Xi Wang, Liana Mikaelyan, Mathew Salvaris, 和 James Hensman

Introducing KBLaM, an approach that enco…

新闻报道 | IEEE Spectrum

“They have trained what’s essentially a …

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| Katja Hofmann

Today Nature published Microsoft’s resea…

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The library, robot, laser, microscope an…

Research Focus: Week of January 31, 2025
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In this issue: A new approach to multimo…

Research Focus: January 17, 2025
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In this edition: Privacy enhancements fo…

新闻报道 | Science News Explores

In the guts of a new type of computer, a…

故事

We’re excited to be a part of #NeurIPS20…

新闻报道 | Windows Experience Blog

Today we will share how the Applied Scie…