Tootfinder

2. Open-Source Freedom 🔓
• Full model weights available on Hugging Face • Modified MIT License for commercial use • No vendor lock-in or API rate limits • Complete transparency and customization control

MMn gehört zu jeder IT-Beschaffung in der Verwaltung die Abschätzung, wie teuer den Anbieter/Dienstleister zu wechseln sein wird. Kosten für Vendor-Lock-In müssen eingepreist werden, bei größeren Investitionen soll da gern der Rechnungshof draufschauen.¹
Heißt auch: laß ich mir von Firmen Speziallösungen bauen, dann muß das Produkt danach unter freier Lizenz stehen oder mir gehören², und so gut dokumentiert sein, daß andere übernehmen können.³
Zudem muß immer ein Migrationspfad f…

Enabling Generic Robot Skill Implementation Using Object Oriented Programming
Abdullah Farrukh, Achim Wagner, Martin Ruskowski
https://arxiv.org/abs/2508.10497 https://

Enabling Generic Robot Skill Implementation Using Object Oriented Programming
Developing robotic algorithms and integrating a robotic subsystem into a larger system can be a difficult task. Particularly in small and medium-sized enterprises (SMEs) where robotics expertise is lacking, implementing, maintaining and developing robotic systems can be a challenge. As a result, many companies rely on external expertise through system integrators, which, in some cases, can lead to vendor lock-in and external dependency. In the academic research on intelligent manufacturing syst…

AI/ML Life Cycle Management for Interoperable AI Native RAN
Chu-Hsiang Huang, Chao-Kai Wen, Geoffrey Ye Li
https://arxiv.org/abs/2507.18538 https://arxiv.o…

AI/ML Life Cycle Management for Interoperable AI Native RAN
Artificial intelligence (AI) and machine learning (ML) models are rapidly permeating the 5G Radio Access Network (RAN), powering beam management, channel state information (CSI) feedback, positioning, and mobility prediction. However, without a standardized life-cycle management (LCM) framework, challenges, such as model drift, vendor lock-in, and limited transparency, hinder large-scale adoption. 3GPP Releases 16-20 progressively evolve AI/ML from experimental features to managed, interoperabl…