Stardust opens beta testing for its AI Agent
The product automates workflows by capturing expert know-how. It integrates with platforms like DingTalk and Teams to act as an AI twin, handling requests across time zones.
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Enterprise AI agent workflow production system
stardust.aiLast updated
In short: Stardust launched StarBench and DenseLoRA, formed humanoid-robot and lithium-refinery partnerships in 2025.
The product automates workflows by capturing expert know-how. It integrates with platforms like DingTalk and Teams to act as an AI twin, handling requests across time zones.
StarBench uses industry experts, quality data, and covers 20 sectors with multimodal reasoning and expert cases. It asks for key task priorities.
DenseLoRA uses dense low-rank structure and shared Encoder-Decoder for stability. It matches LoRA performance with 10% data and 0.01% parameters.
It monitors loss evolution, gradient alignment, and representation stability during training. Teams achieve over 40% reduction in wasted compute, 25-30% shorter cycles, and 20% lower costs.
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