Generative Artificial Intelligence (GenAI) creates new content by modeling complex patterns in existing datasets. Unlike traditional AI systems, it goes beyond classification or prediction to generate novel outputs that resemble human creativity. It supports decision-making with synthetic data for scenarios where real data is scarce or sensitive.
Large Language Models (LLMs), such as GPT, BERT, and LLaMA, are built on the Transformer architecture and trained on massive corpora of text. By leveraging billions of parameters and advanced pretraining strategies, LLMs acquire the ability to generate coherent text, answer questions, summarize content, perform reasoning tasks, and adapt to diverse downstream applications with minimal fine-tuning.
Computer Vision (CV) is a field of artificial intelligence that enables machines to interpret, analyze, and generate insights from visual data such as images and videos. It combines principles from machine learning, pattern recognition, and image processing to extract meaningful representations of objects, scenes, and events.