Google’s new neural-net LLM architecture separates memory components to control exploding costs of capacity and compute

Google’s new neural-net LLM architecture separates memory components to control exploding costs of capacity and compute

Source: Venture Beat Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time without exploding the costs of memory…

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