Artificial Intelligence (AI) refers to the ability of computer systems to mimic human intelligence and also to the development of such systems.
Expert Systems use rules and logic to anticipate a wide range of possible scenarios.
Machine Learning uses probability and statistics to recognize patterns and generalize.
Neural Networks are computing systems modeled like the neural connections in the human brain.
Foundational Models are deep neural networks trained with a large data set using machine learning techniques that mimic human trial and error.
Large Language Models (LLMs) are foundational models focused on language.
GPT stands for Generative Pre- trained Transformers.
Foundational models and LLMs all use GPT architecture; it is not unique to Open AI or Chat GPT.
Diffusion Models are a type of foundational model used to create images and video. Tools like DALL- E, Stable Diffusion, Mid journey are trained by adding noise to the training data which the model learns to remove
Water resources department
Date:18/2/2026
Presenter:Dr Tara Othman qadr
