这项由北京航空航天大学的杨健、国鑫、林静等研究者联合优矿公司和中国人民大学人工智能学院团队完成的突破性研究,发表于2025年12月的arXiv预印本(论文编号:2512.13472v1),是全球首次系统性探索多语言编程训练规律的重要成果。
L2M2 ("LLM Manager" → "LLMM" → "L2M2") is a tiny and very simple LLM manager for Python that exposes lots of models through a unified API. If you plan to use an API-based model, at least one of the ...
Abstract: In practical cell-free (CF) massive multiple-input multiple-output (MIMO) networks with distributed and low-cost access points, the asynchronous arrival of signals at the user equipments ...
Overview: Python plays a crucial role in IoT development given its simplicity, flexibility, and strong ecosystem support.Modern Python frameworks simplify devic ...
Abstract: This study formulated an iterative learning-based predictive control strategy for asynchronous switching of multiphase batch processes with complex ...
TikTokPy has both a synchronous and an asynchronous API. The interfaces are the same, but the asynchronous API requires awaiting of certain functions and iterators. Both APIs must be used as context ...