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Microsoft Research Cambridge

Machine Intelligence

Advanced machine learning research, grounded in trust, efficiency, capability.

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Given a language model, can we tell whet…

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.
Microsoft Research ブログ

| Taketomo Isazawa, Xi Wang, Liana Mikaelyan, Mathew Salvaris, と James Hensman

Introducing KBLaM, an approach that enco…

ニュース | Windows Experience Blog

Today we will share how the Applied Scie…