AI-generated content is any text, image, video or audio, which is created by artificial intelligence models.| www.ibm.com
Discover the differences and commonalities of artificial intelligence, machine learning, deep learning and neural networks.| www.ibm.com
A transformer model is a type of deep learning model that has quickly become fundamental in natural language processing (NLP) and other machine learning (ML) tasks.| www.ibm.com
Generative AI is artificial intelligence (AI) that can create original content in response to a user’s prompt or request.| www.ibm.com
Supervised learning is a machine learning technique that uses labeled data sets to train artificial intelligence algorithms models to identify the underlying patterns and relationships between input features and outputs. The goal of the learning process is to create a model that can predict correct outputs on new real-world data.| www.ibm.com
Artificial intelligence (AI) is technology that enables computers and machines to simulate human learning, comprehension, problem solving, decision-making, creativity and autonomy.| www.ibm.com
Natural language processing (NLP) is a subfield of artificial intelligence (AI) that uses machine learning to help computers communicate with human language.| www.ibm.com
Unsupervised learning, also known as unsupervised machine learning, uses machine learning (ML) algorithms to analyze and cluster unlabeled data sets.| www.ibm.com
Machine learning (ML) is a branch of AI and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans learn.| www.ibm.com