Comparing Multimodal AI on Analytical Reasoning

Many different deep learning models, especially LLMs, can be focused and fine-tuned on specific data modals. One very interesting feature of today’s LLMs is multimodal input; this has its uses in encoding image, text, structured, and other sorts of data into the same embedding space. This talk will briefly go over the technical use cases of multimodal models by running an in-code comparison across different AI models and their ability to analyze and reason with data.