Model Components

API (Application Programming Interface)

Interfaces that allow different software applications to communicate and work together.
Model Components

Artificial Neural Network

Computing systems vaguely inspired by the biological neural networks in human brains.
Model Components

Autoregressive Model

Models that use previous time points to predict future values, common in time series forecasting.
Model Components

Bounding Box

A rectangular border used in visual processing to define the location of objects within images.
Model Components

Contextual Embeddings

Representations of words or phrases that take into account the context in which they appear.
Model Components

Context Window

The range of past input that a model can consider when generating a response or prediction.
Model Components

Discriminator (in GAN)

The component of a generative adversarial network that distinguishes real data from fake.
Model Components

Embeddings

Dense vector representations of words or phrases capturing semantic meaning for AI processing.
Model Components

Encoder

A component of a model that processes and transforms input data into a usable format.
Model Components

Foundational Model

A large, versatile AI model trained on a broad dataset, capable of performing multiple tasks.
Model Components

Generative Adversarial Network (GAN)

A framework for training generative models through a competitive process between networks.
Model Components

Generative Model

A type of AI model that can generate new data instances similar to the training data.
Model Components

Generative Pre-trained Transformer (GPT)

A type of AI model specializing in generating coherent and contextually relevant text.
Model Components

Generator

In GANs, the component that creates data aiming to mimic real data as closely as possible.
Model Components

GPT-3 (Generative Pre-trained Transformer 3)

The third iteration of OpenAI's generative model known for its advanced text generation capabilities.
Model Components

Language Model

AI that understands, interprets, and generates human language based on statistical probabilities.
Model Components

Large Language Model (LLM)

An extensive model trained on vast amounts of text data, capable of understanding and generating text.
Model Components

Maximum Response Length

The largest amount of text or data that a model can generate in response to a single prompt.
Model Components

Model

A mathematical representation of a real-world process, trained to perform specific tasks using data.
Model Components

Model Architecture

The specific layout and structure of a machine learning model, including its layers and nodes.
Model Components

Neural Network

A series of algorithms that mimic the operations of a human brain to recognize relationships in data.
Model Components

Parameter

A variable in a model that is learned from the training data and determines the model's output.
Model Components

Predictive Model

A model that makes predictions about unknown future events based on patterns found in historical data.
Model Components

Recurrent Neural Network (RNN)

A type of neural network well-suited for processing sequences of data, like text or time series.
Model Components

Retrieval Model

A model that retrieves relevant information from a large dataset to support decision-making or responses.
Model Components

Reward Models

Models that evaluate potential actions or responses in reinforcement learning to guide learning towards desired outcomes.
Model Components

Sequence-to-Sequence (Seq2Seq) Models

Models that transform sequences from one domain to another, commonly used in translation and summarization.
Model Components

Transformer

A model architecture that uses self-attention mechanisms to improve performance on tasks involving sequential data.
Model Components

Transformer Decoder

The component of a transformer model responsible for generating output sequences based on encoded information.
Model Components

Transformers

A class of deep learning models that have revolutionized the field of natural language processing (NLP).