From the course: How to Use AI Reasoning Models: Practical Applications with Hands-On Exercises

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Lab 5.1: Complex floor plan analysis with reasoning models lab 5.2 ERD analysis, SQL generation, synthetic data generation

Lab 5.1: Complex floor plan analysis with reasoning models lab 5.2 ERD analysis, SQL generation, synthetic data generation

From the course: How to Use AI Reasoning Models: Practical Applications with Hands-On Exercises

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Lab 5.1: Complex floor plan analysis with reasoning models lab 5.2 ERD analysis, SQL generation, synthetic data generation

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- [Instructor] In this lab, we'll explore the visual and spatial reasoning capabilities of the o1 reasoning model and compare them with GPT-4o. We'll examine how o1 can accurately analyze a complex floor plan, identifying features with precision, whereas GPT-4o struggles with spatial understanding. The complex floor plan we are going to use is this one, and this will be located in the data folder of the GitHub repo. And we are going to analyze this floor plan with the o1 and GPT-4o model. We'll begin by configuring the APIs using an access token from GitHub Model. Then we'll design the prompt. The prompt instructs the model to act as an expert in architectural reasoning and spatial analysis, specializing in multi-unit residential design. It guides the model to evaluate the floor across multiple dimensions. That is like room categorization, circulation efficiency, storage distribution, plumbing design, zoning, and outdoor access, while identifying congestion points, noise interference,…

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