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๐Ÿ“š Google DeepMind Introduces Tandem Transformers for Inference Efficient Large Language Models LLMs


๐Ÿ’ก Newskategorie: AI Nachrichten
๐Ÿ”— Quelle: marktechpost.com

Very large language models (LLMs) continue to face major computational cost barriers, which prevents their broad deployment, even with inference optimization approaches that have advanced significantly. Sequentially producing tokens throughout the autoregressive generation process is a major cause of the high inference latency. Because ML accelerators (GPUs/TPUs) are designed for matrix-matrix multiplications and not the [โ€ฆ]

The post Google DeepMind Introduces Tandem Transformers for Inference Efficient Large Language Models LLMs appeared first on MarkTechPost.

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