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Using AI Assistants for Qt UI Development

QML coding performance of Large Language Models (LLMs) has a direct impact on the adoption of AI assistants for Qt-based UI development. The presentation will compare different factors influencing the developer’s choice for LLMs including QML coding performance for expert advice and code completion, transparency of training data, and different deployment models.

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Webinar: Designing for Modern Devices - Challenges and Trends for Designers of Embedded Applications

Join Qt Group, Creative Navy & Create Next to uncover the future of designing for embedded devic...

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Webinar: When Healthcare HMI and Hardware Fail: Lessons in Building Safe, Compliant, and Future-Proof HIT Systems

This webinar is part of a two-part series that explores how medical Human–Machine Interfaces (HMIs) ...

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Webinar: How to 10x Development Speed when Building an ADAS HMI Towards Production

Surround Reality (SR) is rapidly gaining traction because it provides the situational awareness toda...

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Webinar: Safe, Smart, Seamless: Navigating HMI Hurdles in Lab Equipment

This webinar is part of a two-part series that explores how medical Human–Machine Interfaces (HMIs) ...

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