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In this meetup, we’ll explore how Qt’s fine-tuned CodeLlama-QML models (7B and 13B) can supercharge QML coding for QGC, helping developers streamline interface creation for mission planning, telemetry visualization, and real-time UAV control.

We’ll begin with an overview of the CodeLlama-QML models, demonstrating how they accelerate the development of complex QML layouts.

The session will dive into QGroundControl-specific use cases, including:

* Rapid prototyping of new features.
* Auto-completing QML bindings.
* Generating responsive layouts for telemetry dashboards.
* Supporting new QGC modules built on Qt 6.x.

We’ll also cover best practices for integrating these models into your QGC workflow—whether you’re extending QGC for a drone competition,
customizing it for a client deployment, or experimenting with novel human-drone interface ideas.

By the end, attendees will understand how to deploy and use CodeLlama-QML models to speed up development, reduce boilerplate, and focus more on mission-critical drone logic while letting the AI handle much of the repetitive UI coding.

AI/ML
Drones
Computer Programming

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