Core Concepts
The field of computer science focused on creating systems capable of performing tasks that typically require human intelligence, including decision-making, visual recognition, language understanding, and problem-solving.
A branch of AI that uses advanced algorithms and machine learning models to create new content—such as text, images, music, or videos—by identifying and replicating patterns from existing data.
A subset of AI in which systems are trained to learn from data, identify patterns, and make decisions with minimal human intervention. ML includes supervised, unsupervised, and reinforcement learning techniques.
A field of AI that enables computers to understand, interpret, and respond to human language. Applications include chatbots, voice assistants, sentiment analysis, and automatic translation.
An advanced NLP model trained on massive text datasets to produce coherent and contextually appropriate text. Popular examples include OpenAI’s GPT series and Meta’s Llama 2.