Building LLM Apps That Can See, Think, and Integrate: Using o3 with Multimodal Input and Structured Output

The article demonstrates how to develop a time-series anomaly detection system leveraging large language models (LLMs) through visualization and prompting techniques, emphasizing a hands-on, interactive approach. By utilizing the o3 framework with multimodal input capabilities and structured output, it showcases how LLMs can be integrated to analyze complex data patterns, enabling more intuitive and adaptable AI applications without extensive coding.