In a novel attempt to improve how large language models learn and make them more capable and energy-efficient, Stevens ...
Hourly workers across a number of industries have long been grappling with unstable schedules and pay as their employers use ...
5d
Alibaba's Metis agent cuts redundant AI tool calls from 98% to 2% — and gets more accurate doing it
Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while ...
BeyondTrucks, provider of a platform for AI-powered truck dispatch planning and management for operationally complex fleets, today announced it recorded its strongest new revenue performance in ...
EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...
Abstract: Optimization plays a central role in multitask learning (MTL), yet widely used optimizers such as Adam and AdamW assume uniform parameter updates across tasks, often leading to optimization ...
Abstract: Evolutionary multi-objective multi-task optimization (MO-MTO) can optimize multiple tasks simultaneously by knowledge transfer (KT) between tasks. However, the existing MO-MTO algorithms ...
Editorial Note: Talk Android may contain affiliate links on some articles. If you make a purchase through these links, we will earn a commission at no extra cost to you. Learn more. Picture this: You ...
ABSTRACT: The ease of accessing a virtually unlimited pool of resources makes Infrastructure as a Service (IaaS) clouds an ideal platform for running data-intensive workflow applications comprising ...
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