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Testing the Power of Multimodal AI Systems in Reading and Interpreting Photographs, Maps, Charts and More
- Artificial intelligence has witnessed significant progress with the development of multimodal models that can process text, images, audio, and videos, potentially revolutionizing various fields.
- The article explores the capabilities of OpenAI's GPT-4o and GPT-4o-mini models in understanding and interpreting images containing figures, maps, molecular structures, and more.
- Tests conducted involve analyzing Google Maps screenshots, interpreting driving signs, guiding robotic arm movements, and understanding data plots using these AI models.
- The article discusses how JavaScript can be used to interact programmatically with OpenAI's models for image processing tasks.
- Examples include analyzing tide charts, height profiles, RNA-seq data plots, protein-ligand interactions, and more, showcasing the models' ability to extract valuable insights from visual data.
- The author also explores Google's Gemini 2.0 Flash model and compares its performance to OpenAI's models in understanding and interpreting images.
- Gemini 2.0 Flash demonstrates strong capabilities in inferring artist intents from images, showcasing potential applications in art analysis and interpretation.
- Overall, the article highlights the advancements in multimodal AI systems and their potential to assist in data analysis, robotics, and various other fields by analyzing and interpreting visual data.
- Further studies and tests could enhance the applications of these AI models in tasks requiring visual understanding, interpretation, and decision-making.
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