Glossary

Glossary#

AI#

Artificial Intelligence

APU#

Application Processing Unit - a compute chip that combines a x86 CPU, GPU and NPU integrated in the same chip.

CNN#

Convolutional Neural Network

CPU#

Central Processing Unit - Generic compute unit that supports a broad number of workloads.

Dataset#

A collection of data points organized in categories. E.g., pictures of cats and dogs. The data points can be labelled or not.

DNN#

Deep Neural Network

Inference#

Applying a machine learning model to an input and generating a predicted output

GPU#

Graphics Processing Unit - Special compute unit optimized for graphics and also for machine learning computation.

ML#

Machine Learning.

LLM#

Large Language Model.

LSTM#

Long short-term memory.

NPU#

Neural Processing Unit - Special compute unit optimized for machine learning computation.

numpy#

NumPy is a powerful numerical computing library for Python. It provides support for large, multi-dimensional arrays and matrices, along with a collection of high-level mathematical functions to operate on these arrays. NumPy is widely used in scientific and data-related tasks for its efficiency and ease of use, allowing for fast and convenient manipulation of numerical data in Python programs.

PyTorch#

PyTorch is a machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, part of the Linux Foundation umbrella.

RNN#

Recurrent Neural Network.

SLM#

Small Language Model.

Training#

Training is a process in which a model learns patterns, features and outputs by being exposed to a dataset.

scikit-learn#

Python module for machine learning built on top of SciPy.

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