13B	13 Billion (parameters)
405B	405 Billion (parameters)
7B	7 Billion (parameters)
70B	70 Billion (parameters)
A100	Ampere 100 Nvidia GPU
A2C	Advantage Actor Critic
A3C	Asynchronous Advantage Actor Critic (predates A2C)
AAAI	Association for the Advancement of Artificial Intelligence
ACL	Association for Computational Linguistics
ACM	Association for Computing Machiner
AdaM	Adaptive Moment estimation (momentum)
AdaMW	Adaptive Moment estimation with Weight decay
ADMM	Alternating Direction Method of Multipliers
AGI	Artificial General Intelligence
AGIEval	Artificial General Intelligence Evaluation (exams dataset)
AI	Artificial Intelligence
AI2	Allen Institute for Artificial Intelligence
aka	also known as
AMI	Amazon Machine Image
AMD	Advanced Micro Devices
ANI	Artificial Narrow Intelligence
ANN	Artificial Neural Network
ANSI	American National Standards Institute
AP	Advanced Placement (exams)
APE	Automated Prompt Engineering
API	Application Programming Interface
AR	Augmented Reality
ARC	Abstraction and Reasoning Corpus
ARC	AI2 Reasoning Challenge
ARC-C	AI2 Reasoning Challenge - Challenge set
ARC-E	AI2 Reasoning Challenge - Easy set
ARES	Automated RAG Evaluation System
ASCII	American Standard Code for Information Interchange
ASI	Artificial Super Intelligence
ASR	Automatic Speech Recognition (speech-to-text)
ASR	Automatic Speech Translation
AT	Added Toxicity
AUC	Area Under the Curve (curve could be ROC, DET, PR, etc)
AVX2	Advanced Vector eXtensions version 2 (256-bit: eight 32-bit single-precision numbers)
AVX512	Advanced Vector eXtensions version 512 (512-bit: sixteen 32-bit single-precision numbers)
AWS	Amazon Web Services
B	Billion
B100	Blackwell 100 Nvidia GPU
BAIR	Berkeley AI Research
BART	Bidirectional and Auto-Regressive Transformers
BB	BIG Benchmark
BBH	Beyond the Imitation Game (BIG) Bench Hard suite
BBQ	Bias Benchmark for Question answering
BCE	Binary Cross Entropy
BERT	Bidirectional Encoder Representations from Transformers
BEST-RQ	BErt-based Speech pre-Training with Random-projection Quantizer
BF16	16-bit Brain Floating-point format = (-1 * sign_bit) * (2 ** (128 * exponent_bit[7] + 64 * exponent_bit[6] + 32 * exponent_bit[5] + 16 * exponent_bit[4] + 8 * exponent_bit[3] + 4 * exponent_bit[2] + 2 * exponent_bit[1] + 1 * exponent_bit[0] - 127)) * (1 + 1/2 * mantissa_bit[6] + 1/4 * mantissa_bit[5] + 1/8 * mantissa_bit[4] + 1/16 * mantissa_bit[3] + 1/32 * mantissa_bit[2] + 1/64 * mantissa_bit[1] + 1/128 * mantissa_bit[0]) [example: bin(torch.tensor(-1.5, dtype = torch.bfloat16).view(torch.uint16)) = 0b1011111111000000]
BFCL	Berkeley Function Calling Leaderboard
BFGS	Broyden Fletcher Goldfarb Shanno optimization
BFS	Breadth-First Schedule (or Search)
Bi-LSTM	Bidirectional LSTM
BIG	Beyond the Imitation Game (the Turing Test is known as the Imitation Game)
BLAS	Basic Linear Algebra Subprograms
BLEU	BiLingual Evaluation Understudy
BLOOM	Bigscience Large Open-science Open-access Multilingual language model
BM25	Best Match 25 (an extension of TF*IDF with length normalization and term frequency saturation)
BN	Batch Normalization (center and scale)
BOLD	Bias in Open-ended Language generation Dataset
BoolQ	Boolean (yes/no) Questions (dataset)
BPE	Byte Pair Encoding
BPTT	Back Propagation Through Time
BSD	Berkeley Software Distribution license
C4	Colossal, Cleaned Common Crawl
CAM	Class Activation Map
CBOW	Continuous Bag Of Words
CBRNE	Chemical, Biological, Radiological, Nuclear, and high-yield Explosives (threats)
CD	Contrastive Divergence
CelebA	Celebrity faces with Attributes
CERN	Conseil Européen pour la Recherche Nucléaire
cGAN	conditional GAN
ChartQA	Chart Question Answering
CI	Confidence Interval, where confidence is the probability that the interval construction method will generate an interval that contains the true value of the parameter of interest [if there is no overlap between a pair of confidence intervals, we assume there is a statistically significant difference between the parameters being compared]
CIFAR	Canadian Institute For Advanced Research
CLEVR	Compositional Language and Elementary Visual Reasoning
CLIP	Contrastive Language-Image Pretraining
CLM	Causal Language Modeling
CLS	CLaSsification token
CNN	Convolutional Neural Network
CNTK	Cognitive ToolKit
CO2	Carbon diOxide (emissions)
COCO	Common Objects in Context
CoLA	Corpus of Linguistic Acceptability
CoNLL	Conference on Natural Language Learning
ConvNet	Convolutional Network
CoQA	Conversation Question Answering
CoT	Chain of Thought
CP	Context Parallelism (input sequence chunks are processed in parallel)
CPU	Central Processing Unit
CR	Customer Reviews dataset
CRF	Conditional Random Field
CSAM	Child Sexual Abuse Material
CSI	Control Sequence Introducer: an ANSI sequence for controlling foreground and background colors for text, e.g. f'\x1b[0;30;48;2;{red};{green};{blue}m' contains 0 for reset; 30 for black foreground color; 48 for background color; and 2 for red, green, and blue components for background color
CSS	Cascading Style Sheet
CSV	Comma Separated Values
CUDA	Common Unified Device Architecture
cuDNN	CUDA DNN library
CV	Cross Validation; also Computer Vision
CVF	Computer Vision Foundation
CVPR	Computer Vision and Pattern Recognition
DAG	Directed Acyclic Graph
DCGAN	Deep Convolutional GAN
DCQCN	Data Center Quantized Congestion Notification
DDDQN	Dueling Double Deep Quality estimation Network [to be fair, I've not seen others abbreviate this]
DDPG	Deep Deterministic Policy Gradient
DDQN	Double Deep Quality estimation Network (as in two networks)
DeBERTa	Decoding-enhanced BERT with disentangled attention
DET	Detection Error Trade-off
distilBERT	distilled (smaller) version of larger BERT model
df	degrees of freedom
DFS	Depth-First Schedule (or Search)
DL	Deep Learning
DM Mathematics	Deep Mind Mathematics dataset
DNN	Deep Neural Network
DocQA	Document Question Answering (dataset)
DocVQA	Document Visual Question Answering (dataset)
DP	Data Parallelism (observations are processed in parallel)
DPO	Direct Preference Optimization
DQN	Deep Quality estimation Network
DRAM	Dynamic Random Access Memory
DRL	Deep Reinforcement Learning
DROP	Discrete Reasoning Over the content of Paragraphs
DSO	Dynamic Shared Object
DSPy	Demonstrate Search Predict for python (pipeline optimization)
DSVM	Data Science Virtual Machine
DTD	Describable Textures Dataset
DUC	Document Understanding Conference
EC2	Elastic Compute Cloud
ECACL	European Chapter of the ACL
ECCV	European Conference on Computer Vision
ECMP	Equal Cost Multi-Path (routing)
ELECTRA	Efficiently Learning an Encoder that Classifies Token Replacements Accurately
ELBO	Evidence Lower BOund
ELMo	Embeddings from Language Models
Elo	Arpad Elo's last name (pronounced "ee lou"): devised rating system where player's initial rating moves up or down based on rating of opponent
ELRA	European Language Resources Association
ELU	Exponential Linear Unit
EM	Exact Match
EM	Expectation Maximization
EMA	Exponential Moving Average
EMNLP	Empirical Methods in Natural Language Processing
ETA	Estimated Time of Arrival (of completion)
EuroSAT	European Satellite
EWMA	Exponentially Weighted Moving Average
EXAMS	multi-subject high-school EXAMinationS (dataset)
exp	exponential function [base is 'e' (Euler's number ~ 2.71828)]
F score	Function returning the harmonic mean of precision and recall (always less than or equal to arithmetic mean)
F-beta	TP / (TP + (FP + beta * FN) / (1 + beta))
F1	TP / (TP + (FP + FN) / 2)
f8_e4m3	8-bit floating-point format, with 4-bit exponent and 3-bit mantissa
FAISS	Facebook Artificial Intelligence Similarity Search
FER	Facial Expression Recognition
FFN	Feed Forward Network
FFT	Fast Fourier Transform
FGVC	Fine-Grained Visual Classification
FID	Frechet Inception Distance
FLaN	Finetuned Language Network
FLEURS	Few-shot Learning Evaluation of Universal Representations of Speech
FLOPs	FLoating-point Operations (Per Second)
FMA	Fused Multiply-Add
FN	False Negative [Actual = Positive; Prediction = Negative]
FNR	FN Rate
FP	False Positive [Actual = Negative; Prediction = Positive]
FP8	8-bit Floating Point representation (see f8_e4m3)
FPR	FP Rate
FRR	False Refusal Rate (false positive rate for safety)
FSDP	Fully Sharded Data Parallelism
FT	Fine Tuning
GAE	Generalized Advantage Estimation
GAIA	General AI Assistants (benchmark)
GAN	Generative Adversarial Network
GAT	Graph ATtention network
GB	GigaBytes
GCN	Graph Convolutional Network
GCP	Google Cloud Platform
GELU	Gaussian Error Linear Unit
GEMM	GEneral Matrix Multiplication
gensim	generate similar
GGML	GPT-Generated Model Language
GGUF	GPT-Generated Unified Format
GLM	General Language Model
GLM	Generalized Linear Model
GloVe	Global Vectors for word representation
GLUE	General Language Understanding Evaluation
GMAT	Graduate Management Admission Test
GNN	Graph Neural Network
Gov	Government
GPQA	Graduate-level Google-Proof Question Answering (dataset)
GPT	Generative Pre-trained Transformer
GPTQ	GPT Quantization
GPU	Graphics Processing Unit
GQA	Generalized Query Attention
GQA	Grouped Query Attention
GRE	Graduate Record Examination
GRU	Gated Recurrent Unit cell (a set of 3 or 6 matrices)
GSM8K	Grade School Math 8000 problems dataset
GTSRB	German Traffic Sign Recognition Benchmark dataset
GTX	Giga Texel shader eXtreme
HBM	High-Bandwidth Memory
HDF5	Hierarchical Data Format version 5
HellaSwag	Harder Endings, Longer contexts, and Lowshot Activities for Situations With Adversarial Generations
HELM	Holistic Evaluation of Language Models
HH	Helpful and Harmless dialogue dataset
HMM	Hidden Markov Model
HNSW	Hierarchical Navigable Small Worlds
HTML	Hyper Text Markup Language
HTTP	Hyper Text Transfer Protocol
HTTPS	Hyper Text Transfer Protocol Secure
HSV	Hue, Saturation, and Value
HumanEval	Human (code) Evaluation (dataset)
I	Identity matrix
I	Informational message
ICASSP	International Conference on Acoustics, Speech, and Signal Processing
ICCV	International Conference on Computer Vision
ICD	Insecure Code Detector
ICLR	International Conference on Learning Representations
ICML	International Conference on Machine Learning
IDF	Inverse Document Frequency
IDSIA	Istituto Dalle Molle di Studi sull'Intelligenza Artificiale
IEEE	Institute of Electrical and Electronics Engineers
IFEval	Instruction Following Evaluation (benchmark)
IFT	Instruction Fine Tuning
IID	Independent and Identically Distributed
IJCAI	International Joint Conference on Artificial Intelligence
IJCNLP	International Joint Conference on Natural Language Processing
ILSVRC	Imagenet Large Scale Visual Recognition Challenge
IMDB	Internet Movie DataBase
IML	Instruction Meta Learning
IO	Input Output
IOU	Intersection Over Union
IRA	Irish Republican Army (referenced by a paper, regarding safety)
IS	Inception Score
ISBN	International Standard Book Number
ISSN	International Standard Service Number
ITN	Inverse Text Normalization
JSON	JavaScript Object Notation
k	A variable often used to represent a count, as in k-fold CV or k-means
K80	Kepler 80 Nvidia GPU
KITTI	Karlsruhe Institute of Technology and Toyota Technological Institute
KL	Kullback - Leibler divergence (relative entropy)
KTO	Kahneman-Tversky Optimization
l1, l2	Lebesgue space norm, defined as the "p"-th root of the sum of abolute values raised to the "p"-th power
L-BFGS	Limited-memory Broyden Fletcher Goldfarb Shanno optimization
LAMB	Layerwise Adaptive Moments optimizer for Batch training
LaMDA	Language Model for Dialog Applications
LCFT	Long Context Fine Tuning
LG	LLaMA Guard
LHC	Large Hadron Collider
libROSA	library for the Recognition and Organization of Speech and Audio
LID	Language IDentification
LLaMA	Large Language model Meta AI
LLaVA	Large Language and Vision Assistant
LLM	Large Language Model
LM	Language Model
LMSys	Large Model Systems (organization)
log	logarithm [base is 'e' (Euler's number), unless specified otherwise]
LoRA	Low Rank Adaptation
LR	Learning Rate
LREC	Language Resources and Evaluation Conference
LSAT	Law School Admission Test
LSTM	Long Short-Term Memory cell (a set of 4 or 8 matrices)
LT	Lost Toxicity
M4T	Massively Multilingual and Multimodal Machine Translation
M60	Maxwell 60 Nvidia GPU
MAE	Mean Absolute Error
MAP	Maximum A Posteriori
MAP@k	Mean Average Precision for 'k' recommendations
MAP-Elites	Multi-dimensional Archive of Phenotypic Elites
MAST	ML Application Scheduler on Twine (Twine is Metas cluster management system)
MATH	Mathematics Aptitude Test of Heuristics (dataset)
MB	Mega Bytes
MBPP	Mostly Basic Python Problems (dataset)
MC	Monte Carlo
MC	Multiple Choice
MCMC	Markov Chain Monte Carlo
MCQ	Multiple Choice Question
MCTS	Monte Carlo Tree Search
MDP	Markov Decision Process
METEOR	Metric for Evaluation of Translation with Explicit ORdering
MFU	Model FLOPs Utilization
MFCC	Mel(ody) Frequency Cepstral Coefficients
MGSM	Multilingual Grade School Math
MHR	Modularity - Hierarchy - Reuseg
MIPRO	Multi-prompt Instruction PRoposal Optimizer
MIT	Massachusetts Institute of Technology license
ML	Machine Learning
MLE	Maximum Likelihood Estimate
MLM	Masked Language Modeling
MLP	Multi-Layer Perceptron (stack of "dense" layers)
MLS	Multilingual LibriSpeech
MMDialog	Multi-Modal Dialog
MMLU	Massive Multi-task Language Understanding
MMLU-Pro	Massive Multi-task Language Understanding - Professional
MMMU	Massive Multi-discipline Multimodal Understanding (benchmark)
MNIST	Modified NIST
MNLI	Multi-genre Natural Language Inference dataset
MoE	Mixture of Experts
MPNet	Masked and Permuted pre-training Network
MPQA	Multi-Perspective Question Answering dataset
MPT	MosaicML Pretrained Transformer (Databricks)
MR	Movie Reviews dataset
MRI	Magnetic Resonance Imaging
MRPC	Microsoft Research Paraphrase Corpus
MSE	Mean Squared Error
MT	Machine Translation
MT-Bench	Multi-Turn Benchmark
MuSR	Multi-step Soft Reasoning
MXNet	Mixing eager and graph mode for Networks
n	A variable often used for a count of something; e.g. n-dimensional or n-gram
NAACL	North American chapter of the ACL
NaN	Not a Number
NAS	Neural Architecture Search
NCCL	Nvidia Collective Communications Library
NCCLX	Nvidia Collective Communications Library eXtension (Meta)
NDCG@k	Normalized Discounted Cumulative Gain for 'k' recommendations
NER	Named Entity Recognition
NeurIPS	Neural Information Processing Systems
NExT-QA	Next generation of VQA models to Explain Temporal actions
NF4	Normal Float 4 (4-bits)
NIC	Network Interface Card
NIH	National Institutes of Health
NIH	Needle In a Haystack
NIST	National Institute of Standards and Technology
NLG	Natural Language Generation
NLI	Natural Language Inference (entailment: if A then B; contradiction: if A then not B)
NLL	Negative Log Likelihood
NLLB	No Language Left Behind (translation)
NLP	Natural Language Processing
NLTK	Natural Language ToolKit
NMS	Non Max Suppression
NMT	Neural Machine Translation
NN	Nearest Neighbor
NN	Neural Network
NPC	Non-Playable Character (a character controlled by a computer)
NSFW	Not Safe For Work
NUMA	Non-Uniform Memory Access
NumPy	Numeric library for Python
Nvidia	"invidia" is Latin for "envy", which sounds like a pronounciation of NV (Next Vision)
OBQA	Open Book Question Answering
OCR	Optical Character Recognition
OGB	Open Graph Benchmark
OGBN	OGB Node propery prediction task
OOV	Out Of Vocabulary
OPRO	Optimization by PROmpting
OPT	Open Pre-trained Transformer
P40	Pascal 40 Nvidia GPU
PAIR	Prompt Automatic Iterative Refinement
PaLM	Pathways Language Model
PAWS	Paraphrase Adversaries from Word Scrambling
PB	Peta Bytes
PCA	Principal Component Analysis
PCam	Patch Camelyon
PCI	Peripheral Component Interconnect
PDF	Portable Document Format
PDF	Probability Density Function
PEFT	Parameter Efficient Fine Tuning
PG	Policy Gradient
PHP	Personal Home Page
PHP	PHP: Hypertext Processor
PhotoDNA	Photo DeoxyriboNucleic Acid (image identification)
PII	Personally Identifiable Information
PIL	Python Imaging Library
PIQA	Physical Interaction Question Answering
PMLR	Proceedings of Machine Learning Research
POMDP	Partially Observable Markov Decision Process
POS	Part Of Speech
PER	Prioritized Experience Replay
PID	Process Identifier
Pixel	Picture element
PLM	Permuted Language Modeling
PM	Prosody Model
PNG	Portable Network Graphics image format
POS	Part Of Speech
PP	Pipeline Parallelism
PPO	Proximal Policy Optimization
PR	Precision vs Recall curve
ProLog	Programming Logic language
PTB	Penn TreeBank
PubMed	indexed Published Medical literature
PUE	Power Usage Effectiveness (GPUs require cooling)
pvalue	probability of false reject (for null hypothesis)
QA	Question Answering
QKV	Query Key Value
QLoRA	Quantized Low Rank Adaptation
QNLI	Question-answering Natural Language Inference dataset
QQP	Quora Question Pairs (dataset)
QuAC	Question Answering in Context dataset
QuALITY	Question Answering with Long Input Texts, Yes!
QT	Quality Tuning
R-CNN	Region-based CNN
RaCE	Reading Comprehension dataset from Examinations
RAG	Retrieval Augmented Generation
RAGAS	RAG ASessment (framework)
RAM	Random Access Memory
Rand	Random
RDMA	Remote Direct Memory Access
ReAct	Reasoning and Acting (agent loop)
REINFORCE	REward Increment = Nonnegative Factor times Offset Reinforcement times Characteristic Eligibility
ReLU	Rectified Linear Unit
RESISC	Remote Sensing Image Scene Classification
ResNet	Residual Network
REST	REpresentational State Transfer
RGB	Red, Green, and Blue
RL	Reinforcement Learning
RLAIF	Reinforcement Learning from AI Feedback
RLHF	Reinforcement Learning from Human Feedback
RM	Reward Model
RMSnorm	Root Mean Square normalization
RMSprop	Root Mean Square gradient propagation
RNN	Recurrent Neural Network
RoBERTa	Robustly optimized BERT approach
ROC	Receiver Operating Characteristic curve
RoCE	RDMA over Converged Ethernet
ROI	Region Of Interest
RoPE	Rotary Position Embeddings
ROUGE	Recall-Oriented Understudy for Gisting Evaluation
RS	Rejection Sampling
RT	RunTime; also RealTime
RTE	Recognizing Textual Entailment dataset
RTX	Ray-tracing Texel eXtreme
RWKV	Receptance Weighted Key Value (architecture)
SAC	Soft Actor Critic
SARSA	State Action Reward State Action
SAT	Scholastic Aptitude Test
SBERT	Sentence BERT
SciPy	Scientific library for Python
SDPA	Scaled Dot Product Attention
SELU	Scaled Exponential Linear Unit
SentEval	Sentence Evaluation
seq2seq	sequence-to-sequnce
SFT	Supervised Fine Tuning
SG	Skip-Gram
SGD	Stochastic Gradient Descent
SGM	Standard Generalized Markup text format
SICK-R	Sentences Involving Compositional Knowledge - Relatedness
SIGCOMM	Special Interest Group on data COMMunications
SIGIR	Special Interest Group on Information Retrieval
SiLU	Sigmoid Linear Unit (activation function); aka Swish
SIQA	Social Interaction Question Answering
SLM	Strange Loop Machine (MDP loop)
SLT	Spoken Language Technology
SLT	Statistical Learning Theory
SME	Subject Matter Expert
SMI	System Management Interface
SMoE	Sparse Mixture of Experts
SNAP	Stanford Network Analysis Platform
SNLI	Stanford Natural Language Inference dataset
SO	Shared Object
spaCy	syntactic parser using C-extensions for python (Cython)
SQL	Structured Query Language
SRAM	Static Random Access Memory
SRN	Simple Recurrent Network [refers to SimpleRNN() layer]
SSCD	Self-Supervised Copy Detection
SSD	Single Shot multibox Detector
SSD	Solid State Drive
SST	Stanford Sentiment Treebank
STEM	Science, Technology, Engineering, and Mathematics
STL	Self-Taught Learning
STSb	Semantic Text Similarity benchmark
SUN	Scene Understanding dataset
SUTLM	Speech Unit and Text Language Model
SVHN	Street View House Numbers dataset
SVM	Support Vector Machine
SWA	Sliding Window Attention
SWAG	Situations With Adversarial Generations
swin	shifted window (transformer)
SwiGLU	Swish Gated Linear Unit (activation function)
SXM#	Servier PCI eXpress Module, with version number
t	A variable often used for a test statistic, as in t statistic, t distribution, t test
T5	Text-To-Text Transfer Transformer
tanh	hyperbolic tangent
TB	Tera Bytes
tCO2eq	tonnes of carbon dioxide equivalent
TD	Temporal Difference
TDP	Thermal Design Power
TD3	Twin Delayed Deep Deterministic policy gradient
TDNN-OPGRU	Time-Delay Neural Network with Output-gate Projected GRU
Texel	Texture element
TextVQA	Text Visual Quesion Answering
TF	Term Frequency
TF-IDF	Term Frequency - Inverse Document Frequency
TL;DR	Too Long; Didn't Read: a prefix for a summary
TN	Text Normalization
TN	True Negative [Actual = Negative; Prediction = Negative]
TP	Tensor Parallelism (feature chunks processed in parallel)
TP	True Positive [Actual = Positive; Prediction = Positive]
TPR	True Positive Rate
TPU	Tensor Processing Unit
TReC	Text Retrieval Conference
TRL	Tranformer Reinforcement Learning
TRPO	Trust Region Policy Optimization
TSNE	T-distributed Stochastic Neighbor Embedding
TSV	Tab Separated Values
TTS	Text To Speech
TV	Television
TVQA	Television Question Answering (dataset)
UCB	Upper Confidence Bound
UCF	University of Central Florida
ULMFiT	Universal Language Model Fine Tuning
UMAP	Uniform Manifold Approximation and Projection
URL	Uniform Resource Locator
US	United States
USA	United States of America
USE	Universal Sentence Encoder
USENIX	Unix Users Group (organization)
UTF-8	Unicode Transformation Format - 8-bit, where a character can be represented by a 1-byte, 2-byte, 3-byte, or 4-byte sequence; the first byte of a character determines how many bytes are used to represent the character [0-127 are 1-byte ASCII values]
V100	Volta 100 Nvidia GPU
VAD	Voice Activity Detection
VAE	Variational AutoEncoder
VGG-16	Oxford University Visual Geometry Group 16-layer network
VI	Variational Inference
ViP-LLaVA	Visual Prompt - LLaVA
ViT	Vision Transformer
vLLM	virtual LLM (inference engine)
VM	Virtual Machine
VOC	Visual Objects Challenge
vocoder	voice encoder
VPG	Vanilla Policy Gradient
VQA	Visual Question Answering
VR	Violation Rate (false negative rate for safety)
VR	Virtual Reality
VRAM	Video RAM
VTAB	Visual Task Adaptation Benchmark
W&B	Weights and Biases
WACV	Winter conference on Applications of Computer Vision
Wav	Waveform audio format
WER	Word Error Rate
WinoGrande	adversarial Winograd Schema challenge (identify the antecedent of an ambiguous term)
WNLI	Winograd Natural Language Inference dataset
WuPS	Wu and Palmer Similarity
XAI	X (formerly Twitter) AI
XGBoost	eXtreme Gradient Boosting
XLA	accelerated Linear Algebra
XLM-R	cross-lingual Language Model - RoBERTa, where 'X' represents a cross
XS Test	eXaggerated Safety behaviors Test
YFCC	Yahoo Flickr Creative Commons
YOLO	You Only Look Once
ZeroSCROLLS	Zero-shot CompaRison Over Long Language Sequences
ZIP	Zone Improvement Plan