TPU
TPU is a tensor processing unit, custom hardware designed by Google to accelerate machine learning workloads.
TPU is a tensor processing unit, custom hardware designed by Google to accelerate machine learning workloads.
API is an application programming interface that lets software send input to an AI model and…
Context Window is the maximum amount of text a language model can consider at once when…
Temperature is a setting that controls randomness in a model's output — lower is more focused,…
Zero-Shot Learning is a model performing a task it was not explicitly trained on, using only…
Few-Shot Learning is giving a model a handful of examples in the prompt to guide it…
Chain of Thought is a prompting technique that asks a model to reason step by step,…
Multimodal AI is AI that can understand and generate more than one type of data, such…
Diffusion Model is a generative model that creates images by gradually removing noise, used by many…
GAN is a generative adversarial network, where two neural networks compete to produce realistic synthetic data.
Convolutional Neural Network is a neural network design especially effective at processing images by detecting local…
Recurrent Neural Network is a neural network designed for sequential data, where each step's output depends…
Sentiment Analysis is automatically determining whether a piece of text expresses positive, negative, or neutral feeling.
Named Entity Recognition is identifying and classifying key items in text, such as names, places, dates,…
Speech Recognition is converting spoken audio into written text, also known as speech-to-text.
Optical Character Recognition is extracting readable text from images or scanned documents.
Object Detection is locating and labelling specific objects within an image or video.
Image Segmentation is dividing an image into regions so each pixel is assigned to an object…
Anomaly Detection is identifying data points that differ significantly from the norm, often used for fraud…
Clustering is grouping similar data points together without predefined labels.
Classification is assigning input data to one of several predefined categories.
Regression is predicting a continuous numeric value, such as a price or temperature.
Decision Tree is a model that makes predictions by following a branching series of yes/no questions.