video1.0<iframe src="https://www.loom.com/embed/5b9f15d608ec443ea6aa7c19151d9f84" frameborder="0" width="1152" height="864" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8641152Loomhttps://www.loom.com8641152https://cdn.loom.com/sessions/thumbnails/5b9f15d608ec443ea6aa7c19151d9f84-a491394273111f16.gif547.449In 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.