{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/5b9f15d608ec443ea6aa7c19151d9f84\" frameborder=\"0\" width=\"1152\" height=\"864\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":864,"width":1152,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":864,"thumbnail_width":1152,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/5b9f15d608ec443ea6aa7c19151d9f84-a491394273111f16.gif","duration":547.449,"title":"Understanding AI Models: Traditional vs. Reasoning 🤖","description":"In this video, I discuss the differences between traditional language models and reasoning models within generative AI, specifically using ChatGPT. I explain how traditional models are great for text generation and content creation, while reasoning models excel in handling complex problems like data analysis and debugging. I provide an example comparing the outputs of both models using survey data, highlighting how the reasoning model offers a more thorough analysis. I encourage viewers to consider which model to use based on their specific needs."}