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I thought you needed advanced math to build machine learning models, but I was wrong

Machine learning sounds math-heavy, but modern tools make it far more accessible. Here’s how I built models without deep math ...
IEEE

Harnessing the Power of Large Language Model for Natural Language-Driven Task Scheduling Optimization

Abstract: This paper is to develop an integrated system for task scheduling in projects management, leveraging advanced technologies of large language model (LLM) and mixed integer linear programming ...
IEEE

Data-Driven Multiobjective Multimodal Transportation Route Optimization in Hybrid Uncertain Environments

Abstract: Multimodal freight transportation is essential for enhancing logistics efficiency and reducing costs, with route optimization as its core component. However, uncertainties are prevalent in ...

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 ...