Definitions

Artificial Intelligence: It is a technique that enables machines to mimic human behavior and cognitive abilities. It includes Machine Learning.

Machine Learning: It uses statistical methods to improve at tasks with past experiences. It includes deep learning.

Deep Learning: It uses neural networks to train machines to perform tasks. It is composed of multiple layers of interconnected nodes and is used for tasks such as image and speech recognition.  It includes Generative AI.

Neural Networks: Machine Learning algorithms that are modeled after the human brain. It consists of layers of interconnected neurons that are used to process and analyze data.

NLP: It deals with interaction between computer and human languages. It includes text analysis, sentiment analysis, speech recognition and machine translation.

Generative AI: It is a set of models that describe what we want, visualizing and generating content to match prompts. Generative AI accelerates ideation, brings vision to life and frees up to spend more time on being creative.  It creates a wide variety of data such as images, videos, audio, text and 3D models. Typically uses large language models, example: ChatGPT, OpenAI.

Large Language Model: It is a Generative AI algorithm that uses deep learning techniques and huge datasets to generate and predict new content.

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