Generative AI.
What is Artificial Intelligence(AI)?
Artificial Intelligence(AI) is the development of computer systems that can perform tasks (reason, learn, and act autonomously) requiring human intelligence.
What is Machine Learning(ML)?
Machine Learning(ML) is the subfield of Artificial Intelligence(AI), where computer systems learn and improve from given data(input) without being explicitly programmed and make useful predictions. ML has two types of models, Supervised ML Models(deal with the labeled data), and Unsupervised ML Models(deal with the unlabeled data).
What is Deep Learning?
Deep Learning is the type of Machine Learning(ML), that uses Artificial Neural Networks allowing them to process more complex patterns than traditional machine learning.
What are Artificial Neural Networks?
Artificial neural networks are computational models inspired by the human brain(Specifically, the structure and function of the biological neural network). They consist of interconnected nodes, called neurons, that process and transmit information. Neural networks are used in machine learning to learn patterns (process data) and make predictions based on input data. Artificial Neural Networks can use both labeled and unlabeled which is called Semi-Supervised Learning.
What is Semi-Supervised Learning?
In Semi-Supervised Learning, a Neural Network is trained on a small movement of labeled data and a large amount of unlabeled data. The labeled data helps the neural network to learn the basic concepts of the task while the unlabeled data helps the neural network to generalize to new examples.
What is Generative AI?
“Generative AI is a subset of Deep Learning, which means it uses artificial neural networks that can process both labeled and unlabeled data using Supervised, Unsupervised and Semi-Supervised Learning.”
Large Language Models(LLMs):
Large Language Models(LLMs) are also a subset of Deep Learning, These are advanced AI models trained on extensive text data that can understand and generate human-like text. They have applications in tasks such as translation, summarization, and content generation.
Deep Learning Models and Machine Learning Models in general, can be divided into two types:
- Generative.
- Discriminative.
How Generative AI Works?
Unstructured data is used as input data, Generative AI model learns patterns through unstructured data and generates output as new content.
How to distinguish between GenAI and Non-GenAI, Generative AI will generate an output(y) of Natural language for example speech and text, Image, or Audio.
References
Introduction to Generative AI — Google.
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