One of the primary applications of predictive analytics involves extracting necessary metadata from images and videos to evaluate the condition of real-world systems and recommend measures to sustain these systems.
Microsoft's Azure AI Vision service offers access to sophisticated algorithms that analyze images and generate insights based on the visual aspects of interest to the user. Additionally, Azure OpenAI Service has introduced an image analysis feature that leverages large language models (LLMs) to comprehend the content of images.
GPT-4 Turbo with Vision, developed by OpenAI, is a significant multimodal model (LMM) capable of interpreting images and providing text-based answers to queries regarding those images, combining capabilities in both natural language processing and visual comprehension.
This session aims to compare Azure AI Vision and GPT-4 Turbo with Vision, exploring how these two technologies can be utilized together for enhanced predictive analysis.