PowerBI Data Analyst - Create visualizations and dashboards from scratch
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Overview
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This 22-minute video from Roboflow examines how various large vision-language models (VLMs) perform when tested on real-world visual problems. Discover the comparative results of testing several VLMs using standard prompts and analyze the differences in their performance. Learn about the limitations of current evaluation methods and explore the Vision AI Checkup tool that allows for standardized testing. The video also demonstrates how combining multiple vision models—both pre-built and purpose-built—can effectively solve more complex tasks. Follow along through sections covering VLM fundamentals, detailed comparisons between popular models, observations about current capabilities, and practical techniques for leveraging multiple models together to enhance visual AI solutions.
Syllabus
00:00 Introduction: Testing VLMs on Vision Tasks
01:54 What is a VLM and Evaluation Limitations
04:47 Vision AI Checkup & Comparing Popular VLMs
12:14 Observations and Looking at the Future of VLMs
19:44 Combing Multiple Vision Models to Solve Tasks
Taught by
Roboflow