G - Definitions
-
G
gradient descent
Gradient descent is an optimization algorithm that refines a machine learning (ML) model's parameters to create a more accurate model.
-
What are graph neural networks (GNNs)?
Graph neural networks (GNNs) are a type of neural network architecture and deep learning method that can help users analyze graphs, enabling them to make predictions based on the data described by a graph's nodes and edges.
-
What is a generative adversarial network (GAN)?
A generative adversarial network (GAN) is a machine learning (ML) model in which two neural networks compete by using deep learning methods to become more accurate in their predictions.
-
What is a generative model?
A generative model uses AI and statistical and probabilistic methods to create representations or abstractions of observed phenomena or target variables.
-
What is Gemma? Google's open sourced AI model explained
Gemma is a collection of lightweight open source generative AI models designed mainly for developers and researchers.
-
What is GenAI? Generative AI explained
Generative artificial intelligence, or GenAI, uses sophisticated algorithms to organize large, complex data sets into meaningful clusters of information in order to create new content, including text, images and audio, in response to a query or prompt.
-
What is GPT-3? Everything you need to know
GPT-3, or the third-generation Generative Pre-trained Transformer, is a neural network machine learning model trained using internet data to generate any type of text.
-
What is the Google Gemini AI model (formerly Bard)?
Google Gemini -- formerly known as Bard -- is an artificial intelligence (AI) chatbot tool designed by Google to simulate human conversations using natural language processing (NLP) and machine learning.