AI Acronym Decoder

Decode AI, ML, and tech acronyms instantly

Artificial Intelligence

Machines simulating human intelligence

Machine Learning

Systems that learn from data

Deep Learning

ML using deep neural networks

Neural Network

Computing system inspired by biological neurons

NLP

Natural Language Processing

AI for understanding human language

Computer Vision

AI for processing visual information

NLU

Natural Language Understanding

Subset of NLP focused on comprehension

NLG

Natural Language Generation

Subset of NLP focused on text generation

LLM

Large Language Model

AI models trained on vast text data

GPT

Generative Pre-trained Transformer

OpenAI's autoregressive language model

BERT

Bidirectional Encoder Representations from Transformers

Google's masked language model

LLaMA

Large Language Model Meta AI

Meta's open-source language model

PaLM

Pathways Language Model

Google's large language model

RLHF

Reinforcement Learning from Human Feedback

Training using human preferences

SFT

Supervised Fine-Tuning

Fine-tuning with labeled data

DPO

Direct Preference Optimization

Alternative to RLHF for alignment

PPO

Proximal Policy Optimization

RL algorithm used in RLHF

PEFT

Parameter-Efficient Fine-Tuning

Fine-tuning with fewer parameters

LoRA

Low-Rank Adaptation

Efficient fine-tuning technique

QLoRA

Quantized Low-Rank Adaptation

LoRA with quantization for efficiency

CNN

Convolutional Neural Network

NN for processing grid-like data

RNN

Recurrent Neural Network

NN with loops for sequential data

LSTM

Long Short-Term Memory

RNN variant that handles long sequences

GRU

Gated Recurrent Unit

Simplified LSTM variant

GAN

Generative Adversarial Network

Two competing networks for generation

VAE

Variational Autoencoder

Generative model using latent space

MLP

Multilayer Perceptron

Basic feedforward neural network

FFN

Feed-Forward Network

Network with no loops

MoE

Mixture of Experts

Architecture with specialized subnetworks

SGD

Stochastic Gradient Descent

Optimization using random samples

Adam

Adaptive Moment Estimation

Popular optimizer combining momentum

Batch Normalization

Normalizing activations for stability

Layer Normalization

Normalizing across features

ReLU

Rectified Linear Unit

Common activation function

GELU

Gaussian Error Linear Unit

Smooth activation used in transformers

MSE

Mean Squared Error

Common regression loss function

Cross-Entropy

Common classification loss function

RAG

Retrieval-Augmented Generation

LLM + external knowledge retrieval

API

Application Programming Interface

Interface for software interaction

SDK

Software Development Kit

Tools for building applications

SaaS

Software as a Service

Cloud-delivered software

MLOps

Machine Learning Operations

Practices for deploying ML systems

AGI

Artificial General Intelligence

Human-level general intelligence

ASI

Artificial Superintelligence

Beyond human-level intelligence

XAI

Explainable AI

AI that can explain its decisions

BLEU

Bilingual Evaluation Understudy

Translation quality metric

ROUGE

Recall-Oriented Understudy for Gisting Evaluation

Summarization metric

PPL

Perplexity

How well model predicts text

F1 Score

Harmonic mean of precision and recall

AUC

Area Under the Curve

Classification performance metric

ROC

Receiver Operating Characteristic

Curve showing classification tradeoffs

mAP

Mean Average Precision

Object detection metric

IoU

Intersection over Union

Overlap measure for detection

ETL

Extract, Transform, Load

Data pipeline process

EDA

Exploratory Data Analysis

Initial data investigation

PCA

Principal Component Analysis

Dimensionality reduction technique

t-SNE

t-distributed Stochastic Neighbor Embedding

Visualization technique

UMAP

Uniform Manifold Approximation and Projection

Dimensionality reduction

BPE

Byte Pair Encoding

Tokenization algorithm

59 acronyms

Related Tools

AI Ethics Checklist

Interactive checklist for responsible AI development and deployment

AI Glossary

Comprehensive definitions of artificial intelligence and machine learning terms

ML Model Selection Flowchart

Interactive guide to choosing the right machine learning algorithm for your problem

Model Card Generator

Generate standard model cards for documenting your machine learning models

Neural Network Visualizer

Interactive visualization of basic neural network architectures and layers

TL;DR Paper Summaries

Key takeaways from seminal AI research papers (Attention Is All You Need, etc.)

About This Tool

The AI field is full of acronyms. This decoder helps you quickly understand what they mean. Just type or search for any acronym to find its full form and a brief description.

Common Categories

Models & Architectures

GPT, BERT, LLaMA, CNN, RNN, LSTM, GAN, VAE

Training Methods

RLHF, SFT, DPO, PPO, LoRA, PEFT

Metrics

BLEU, ROUGE, PPL, F1, AUC, ROC

Applications

RAG, NLP, CV, MLOps, XAI

Tip

You can also search by the full form or description, not just the acronym itself.