Authors
- Understand why LLMs alone are not reliable enough for engineering drawing generation and where probabilistic outputs can create serious safety, quality, and compliance risks.
- Learn how to design a practical hybrid AI architecture that combines LLMs, deterministic engineering systems, classical ML, and human-in-the-loop validation.
- Identify high-value, realistic use cases for AI in engineering workflows.
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