Week 3 - BALT 4396B - Math and Learning Path

Differences between Generative and Conventional AI

 Generative AI:

As technology develops our jobs begin to change as well. In the workforce AI skills will at some point be expected from a greater number of employees. Generative AI is focused more on the basic fundamentals of AI. It includes software's that generate text, images/graphics, video, etc. The goal of this type is just that, to create and duplicate real human projects/ideas. For anyone that's curious or wants to get a feel for AI, there are software's that have a free version such as ChatGPT. For work/career, generating is the tool people should learn. This can be seen as more of an introduction.

Conventional AI (Traditional):

Conventional AI is also known as Traditional AI. This form of AI requires some more advanced background with math/coding. That is because Conventional AI is more than just generating and producing human like work. This focuses on making decisions/coming up with answers that backs up a set of rules/programming that a human implemented into it.  It isn't necessarily creating any new outcomes; it's working off of the programming for consistency. For example, Siri. Siri is supposed to interact with us like a "human." So, when you speak to it, it responds as best as it can to your question. Humans have programmed Siri to know what a human think about, how they speak, what they're interested in, etc. But the people behind the programming had to have some good amount of knowledge of what AI is. 

Summary: 

If you are someone who is interested in competing in your field of study/work, then you know the importance of attaining skills and developing them. Adding AI skills is not a bad look at all. If anything, it could be very beneficial as jobs are slowly moving towards AI. If you aren't interested in diving too deep with AI. Generative AI is the way to go. From the comparison we can see that this is just a more surface part of AI. A person doesn't need to go too into depth on what AI is and learning the other fundamentals of it. It's for more simple tasks. If AI actually does catch your eye and you want to learn more, it's a good idea to learn about Conventional AI. I would say this is for those whose carries are heavy with math/technology. It's like learning the cores and building up from there. I would like to make that announcement that if you do choose to start with Generative AI you can always expand and dive deeper.