Phoebe Klett - Going beyond RAG: Extended Mind Transformers

Retrieval Augmented Generation is such a hack. Why would an embedding of your prompt coincide with the documents needed to answer it? Meanwhile Transformers already have a key/query mechanism built in! In this talk, we'll introduce Extended Mind Transformers, a new flavor of transformer that allows the model to select and attend to the most relevant information at each generation step. We demonstrate EMT's state-of-the-art performance and discuss important design decisions for long context applications.

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Retrieval Augmented Generation is such a hack. Why would an embedding of your prompt coincide with the documents needed to answer it? Meanwhile Transformers already have a key/query mechanism built in! In this talk, we'll introduce Extended Mind Transformers, a new flavor of transformer that allows the model to select and attend to the most relevant information at each generation step. We demonstrate EMT's state-of-the-art performance and discuss important design decisions for long context applications.

Phoebe Klett

ML Engineer with background in abstract mathematics. Building language models that natively reason.

Phoebe Klett
Phoebe KlettMachine Learning Engineer

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