Traditional automation needs human prompts. uRecruits' agentic AI autonomously orchestrates recruiting workflows. Most of the minor tasks are handled automatically 24/7. The approach reduces admin ...
Abstract: Multi-task Reinforcement learning is a key current trend in the field of reinforcement learning. It can accomplish multiple tasks using a single network, which is superior to single-task ...
What if your AI could think like a hive mind, tackling complex problems with the precision of 100 synchronized agents? In this guide, Sam Witteveen explains how Kimi K2.5’s new Agent Swarm system is ...
Abstract: Current deep learning compilers have made significant strides in optimizing computation graphs for single- and multi-model scenarios. However, they lack specific optimizations for ...
What if you could master an innovative platform that transforms your AI development workflow in less time than it takes to watch an episode of your favorite show? Below Keith explores how OpenCode, a ...
We are observing significant performance degradation when executing complex tasks within the Google ADK framework. In several scenarios involving multi-step orchestration and cross-agent communication ...
And when i look at the load distribution, i see its all going to one node. NOTE: I also tried running ONE node with 4 x GPUs and saw the same result. Am I assuming that there is a mapping from worker ...
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