Understanding Machine Learning Concepts

Creating new content

Deleting old data

Analyzing existing data

Storing information

CPUs consume more power

CPUs are outdated

GPUs can handle multiple operations simultaneously

GPUs are cheaper

Introduction of neural networks

Development of deep learning

Introduction of transformers

Creation of the first AI model

Unsupervised learning is more accurate

Supervised learning requires more data

Supervised learning is faster

Supervised learning uses labeled data, while unsupervised learning uses unlabeled data

A type of computer

A specific output of the machine learning process

A programming language

A data storage system

Animal instincts

Human brains

Computer algorithms

Natural ecosystems

They are less complex

They have many layers of neurons

They use fewer data

They are faster to train

To delete unnecessary data

To classify or predict labels for data points

To generate new data

To store data

Classify data

Reproduce characteristics of data

Store data

Delete data

GPU

CPU

GPT

RAM