Thanks for simple and elegant explanation, my take: Traditional AI isn't always confined to predetermined rules. For instance: 📌 Reinforcement Learning Algorithms like AlphaGo learn by interacting with their environment. 📌 Adaptive Control Systems in vehicles respond dynamically to traffic conditions. 📌 Unsupervised Learning in NLP categorizes text without fixed linguistic rules. 📌 Evolutionary Algorithms find solutions by mimicking natural selection. Thanks for amazing video
what do you think of semi-supervised learning wheareas you are using self supervised learning for efficiency and then fine tuning it with supervised learning approach // is this how the foundational models are being trained nowadays??
thanks for your illustration, I recommend providing more power and raising your voice when you are explaining I felt a little bit sleepy 🙃but you are more than fantastic
I think it is quite the same for both the AIs. I think the difference lies in the way they are trained on that data. Gen AI is trained to understand the patterns of the data, and create new data that matches up with the data patterns it was trained on. Traditional AI is trained to just analyze the patterns and either predict or classify certain information.
Thank you for explaining the differences between the two types of AI! Great explanation!
Thanks for simple and elegant explanation, my take:
Traditional AI isn't always confined to predetermined rules. For instance:
📌 Reinforcement Learning Algorithms like AlphaGo learn by interacting with their environment.
📌 Adaptive Control Systems in vehicles respond dynamically to traffic conditions.
📌 Unsupervised Learning in NLP categorizes text without fixed linguistic rules.
📌 Evolutionary Algorithms find solutions by mimicking natural selection.
Thanks for amazing video
Great comment - thank you for adding some more details
what do you think of semi-supervised learning wheareas you are using self supervised learning for efficiency and then fine tuning it with supervised learning approach // is this how the foundational models are being trained nowadays??
easy to understand and remember, thanks
Thank you!
Ur video helped me in my exam
That's great to hear!
thanks for your illustration, I recommend providing more power and raising your voice when you are explaining I felt a little bit sleepy 🙃but you are more than fantastic
Thank you but I still don’t understand what is the source of information form generative AI to be more advanced than the traditional AI?
I think it is quite the same for both the AIs. I think the difference lies in the way they are trained on that data. Gen AI is trained to understand the patterns of the data, and create new data that matches up with the data patterns it was trained on. Traditional AI is trained to just analyze the patterns and either predict or classify certain information.
Thank you very much