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Large language models (LLMs) enhanced with retrieval augmentation has shown great performance in many applications.
Perplexity—a measure of the difficulty of speech recognition tasks
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Leveraging passage retrieval with generative models for open domain question answering
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Beyond distillation: Task-level mixture-of-experts for efficient inference
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A hybrid deep learning architecture for privacy-preserving mobile analytics
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Improving language models by retrieving from trillions of tokens
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Llama: Open and efficient foundation language models
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