{"id":7015,"date":"2025-09-21T07:02:21","date_gmt":"2025-09-21T07:02:21","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/09\/21\/building-llm-apps-that-can-see-think-and-integrate-using-o3-with-multimodal-input-and-structured-output\/"},"modified":"2025-09-21T07:02:21","modified_gmt":"2025-09-21T07:02:21","slug":"building-llm-apps-that-can-see-think-and-integrate-using-o3-with-multimodal-input-and-structured-output","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/09\/21\/building-llm-apps-that-can-see-think-and-integrate-using-o3-with-multimodal-input-and-structured-output\/","title":{"rendered":"Building LLM Apps That Can See, Think, and Integrate: Using o3 with Multimodal Input and Structured Output"},"content":{"rendered":"<p>    Building LLM Apps That Can See, Think, and Integrate: Using o3 with Multimodal Input and Structured Output<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>A hands-on example of building a time-series anomaly detection system entirely through visualization and prompting<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/building-llm-apps-that-can-see-think-and-integrate-using-o3-with-multimodal-input-and-structured-output\/\">Building LLM Apps That Can See, Think, and Integrate: Using o3 with Multimodal Input and Structured Output<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Shuai Guo<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/building-llm-apps-that-can-see-think-and-integrate-using-o3-with-multimodal-input-and-structured-output\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Building LLM Apps That Can See, Think, and Integrate: Using o3 with Multimodal Input and Structured Output A hands-on example of building a time-series anomaly detection system entirely through visualization and prompting The post Building LLM Apps That Can See, Think, and Integrate: Using o3 with Multimodal Input and Structured Output appeared first on Towards [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,3139,240,71,87,1930,473],"tags":[3047,133,134],"class_list":["post-7015","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-anomaly-detection","category-editors-pick","category-large-language-models","category-llm","category-llm-applications","category-multimodal","tag-apps","tag-building","tag-llm"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/7015"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=7015"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/7015\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=7015"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=7015"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=7015"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}