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multimodal learning scenarios (text, speech, code), contributing to adaptive dialogue design, and examining how novice programmers develop reasoning, reflection, and metacognitive strategies when engaging with
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, Grasshopper, Python). Explore new trajectories for the advancement of AI-supported integrated architecture and its potential impact on the build environment. Contribute to developing open-source tools and code
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, such as graph-based approaches with Retrieval-Augmented Generation (RAG) and fine-tuning of LLMs. • Contribute to developing open-source tools and code repositories • Produce high-level scientific
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