Token-Oriented Object Notation is a compact, human-readable format designed for passing structured data to Large Language Models with significantly reduced token usage. It's intended for LLM input, ...
Abstract: The rapid growth of model parameters presents a significant challenge when deploying large generative models on GPU. Existing LLM runtime memory management solutions tend to maximize batch ...
Forbes contributors publish independent expert analyses and insights. Barry Collins is a tech journalist writing about PCs, Macs and games. This voice experience is generated by AI. Learn more. This ...
The evaluation framework was developed to address a critical bottleneck in the AI industry: the absence of consistent, transparent methods to measure memory quality. Today's agents rely on a ...
Abstract: The LLM decoding process poses a significant challenge for memory bandwidth due to its autoregressive nature. Prior 2D memory solutions fail to overcome this memory bottleneck due to limited ...
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