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: In this paper, we propose an edge-assisted split federated learning framework to facilitate large language model (LLM) fine-tuning on heterogeneous mobile devices while alleviating memory ...
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 ...
Suntory Beverage & Food (Thailand) Co., Ltd., a leader in health enrichment products under the BRAND'S trademark in Thailand and Indochina, has joined hands with the Thai Neuroscience Society to ...
"So we beat on, boats against the current, borne back ceaselessly into the past." -- F. Scott Fitzgerald: The Great Gatsby This repo provides the Python source code for the paper: FINMEM: A ...
We are working on models of memory to make factual knowledge in large language models both transparent and controllable. The goal is to enable high precision knowledge infusion at scale – with full ...
We introduce LEGOMem, a modular procedural memory framework for multi-agent large language model (LLM) systems in workflow automation. LEGOMem decomposes past task trajectories into reusable memory ...
If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: with firewalls, audits, and access privileges. The pace at which large ...
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