This is the up-to-date official implementation of KVCOMM in the paper, KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems. KVCOMM is a novel adaptive ...
Abstract: Functional integration is a growing trend in vehicle control, often involving the coordination of multiple controllers to achieve various objectives simultaneously. The need for flexibility ...
Each user session is assigned a dedicated Docker container that runs until the browser tab is closed. If your code imports a package that is not available, the sandbox automatically installs it from ...
Abstract: Multi-agent pathfinding (MAPF) plays a critical role in tasks involving collaborative multi-agent systems, particularly in complex environments, where it ensures the safe navigation of each ...
New tool enables enterprise-scale evaluation of production AI agents through digital twins and synthetic customers.
In this video, we build a Python simulation to compute the electric field produced by a uniformly charged ring. Using numerical integration, we visualize the field behavior and compare it with key ...
Recent advances in large language models (LLMs) have enabled human-like social simulations at unprecedented scale and fidelity, offering new opportunities for computational social science. A key ...
Google on Sunday announced a new open standard called the Universal Commerce Protocol (UCP) for AI agent-based shopping, at the National Retail Federation (NRF) conference. The standard, developed ...
This video demonstrates how to model rigid objects using springs in a Python physics simulation. We explore how spring forces approximate rigidity, analyze motion and stability, and visualize the ...
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