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AI Use Case Anatomy: Input, Output, and AI's Role for Engineers
This video breaks down the essential anatomy of an AI use case, from chat to workflows and agents, by focusing on defining the input and output before considering AI's role. It emphasizes the importance of specifying data format and location for both input and output to ensure successful AI integration and avoid issues like hallucination, offering a foundational approach for industrial engineers leveraging AI.
HATZ AI: Image Generation & Editing for Industrial Engineers
This video demonstrates HATZ AI's image generation capabilities, highlighting how users can create new images from scratch or edit existing ones using various AI models like Nano Banana. It emphasizes the importance of prompt engineering for detailed and accurate results, showcasing practical applications for industrial engineers beyond just fun, like editing blueprints or schematics.
HATZ AI: Apps, Workflows, Agents Explained for Industrial Engineers
This video introduces the HATZ AI platform's core components: Apps, Workflows, and Agents, designed to simplify AI integration for industrial engineers. It explains how each component builds upon the last, making complex AI tasks accessible and scalable for process optimization and efficiency.
Mitigate AI Hallucinations: Best Practices for Engineers
This video addresses common concerns about AI hallucinations, explaining that modern models are significantly reducing this issue. It provides practical strategies for industrial engineers to mitigate hallucinations, such as using the newest AI models, enabling web search tools, and requiring AI to cite sources with URLs and explanations, ensuring reliability and trust in AI outputs.