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Google AI Research Introduces GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
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In the enchanting world of language models and attention mechanisms, picture a daring quest to accelerate decoder inference and enhance the prowess of large language models. Our tale unfolds with the discovery of multi-query attention (MQA), a captivating technique that promises speedier results. Multi-query attention (MQA) expedites decoder inference through the employment of a single […]
The post Google AI Research Introduces GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints appeared first on MarkTechPost.
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