{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/58a31109e21247c4ab1b1beb0ab0009e\" frameborder=\"0\" width=\"1918\" height=\"1438\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1438,"width":1918,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1438,"thumbnail_width":1918,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/58a31109e21247c4ab1b1beb0ab0009e-5907b5886a386d68.gif","duration":238.266,"title":"Enhancing ChatGPT with Real-Time Data 🌐","description":"I discuss a unique feature of SecureGPT that allows for real-time data access in language models. By enabling Python code execution, we can fetch live data into the models, overcoming the limitation of static training data. I demonstrate how this feature works using tools like a code-driven calculator and real-time weather API calls. Viewers can leverage this capability for various applications, even non-technical tasks, making it a powerful tool for data integration."}