![]() ![]() In doing so, this offers support for various inference patterns, and pre- and post-processing logic. ONNX-based models can be easily imported into Mendix's integrated development environment (IDE) and weaved into a Mendix application. These include pretrained models built with PyTorch, Caffee2, Cognitive Toolkit, and other common AI frameworks that have adopted the Open Neural Network Exchange (ONNX) standard. Infusing low-code applications with AI enablement via Mendix's Machine Learning KitĪddressing an urgent market need to integrate and deploy AI into applications, Mendix 10 features a new Machine Learning (ML) Kit that empowers enterprises to build solutions incorporating custom AI models within applications using the developer's desired AI framework and language. Secondly, the platform greatly expands the scope and functionality of AI-enabled application development. First, Mendix 10 empowers the enterprise to seamlessly integrate AI use cases with low-code applications using Mendix's new Machine Learning Kit. Mendix 10 features greatly expanded AI capabilities in two major areas. ![]() The new AI and Machine Learning enhancements reinforce the status of Mendix's low-code platform as the de facto standard for building smart business applications and solutions. ![]()
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