Artificial Intelligence (AI) is a broad field focused on creating systems that can perform tasks requiring human-like intelligence, such as reasoning, learning, and problem-solving.
Artificial Intelligence (AI) in education refers to the use of artificial intelligence technologies to enhance learning experiences, personalize instruction, and automate administrative tasks. It helps tailor educational content to individual student needs, provides instant feedback, and supports teachers by handling repetitive tasks like grading, allowing them to focus more on teaching and student engagement.
Machine Learning (ML) is a subset of AI that involves training algorithms on data to make predictions or decisions without being explicitly programmed for specific tasks.
GPT (Generative Pre-trained Transformer) is a type of ML model designed to generate human-like text by predicting the next word in a sentence, based on patterns learned from vast amounts of text data.
LLMs (Large Language Models) like GPT are advanced versions of ML models that have been trained on massive datasets, allowing them to generate, understand, and manipulate human language with high accuracy.
Note: The key difference between the following concepts lies in their scope: AI encompasses the overall goal of simulating intelligence, ML focuses on the learning process within AI, GPT is a specific type of ML model, and LLMs are large-scale implementations of such models.