LLM Anatomy: GPTs vs. Assistants Explained Simply #shorts

Let's talk about the anatomy a little bit of those L&M systems that we are going to take as an example. Um, and there are basically two things that we're looking at. It's one is the GPTs. So that's basically your chat bots that you have in the open AI what is it cloud there's I mean you have your web application at open AI and then you can go into a kind of an app store and in that app store you have GPTs that you can use to uh perform special tasks for example there is an AI GPT that uh will help you answer questions for I don't know SAP right if you have very specific questions about how to maintain ain an

SAP an ERP system you can just use that GPD and it has like special knowledge about that. Then you have your assistants. Assistants are basically more tailored chat bots that you will be creating to implement them in your applications right so if you go to EA for example um uh or also build the for example then there will be some chat bots somewhere and you can just interact with them talk to them and they will take over like your usual first level support or whatever. So assistants are more like a programmatic approach to implement uh generative AI capabilities in your own application whereas GPTs are more like specialized generative AI applications hosted on the uh OpenAI app

store so to Okay.