قاموس المُصطلحات العلميّة هو مشروع مستمر نشأ كمبادرة من فريق الذكاء الاصطناعي باللغة العربية تهدف إلى نشر وإتاحة أول قاموس <إنكليزي-عربي> علمي اختصاصي يحوي على مصطلحات علوم الذكاء الاصطناعي.
- يرجى أرفاق رابط القاموس بقائمة المراجع في حال استعماله في ترجمة المصطلحات العلمية
- للاطلاع على قائمة المشاركين في بناء قاموس المُصطلحات العلميّة يرجى زيارة الرابط التالي المشاركين
- 2D- Rotary Position Embedding - 2D-RoPE
- 3D- Rotary Position Embedding - 3D-RoPE
- Activation Function
- AdaDelta
- AdaGrad
- Adaptive Augmented Retrieval - AAR
- Adaptive Learning Rate Algorithms
- Adaptive Moment Estimation - Adam
- Adaptive Moment Estimation Algorithm (Adam)
- Adversarial Learning Strategy
- Agglomerative Hierarchical
- Anchor Boxes
- Anomaly Detection
- Artificial Intelligence
- asymmetrical augmentation
- Attention Mechanism
- AutoEncoder
- Autoencoder Transformers
- Automatic Differentiation
- Auxiliar Head
- Auxiliary Loss
- Average Pooling
- Backpropagation
- Backward Chaining
- Bagging
- Bag of Words (BOW)
- balanced accuracy
- Batch
- Batch Normalization
- Bayesian Regression
- Beam Search
- BERT
- Bias
- bicubic interpolation
- Binary Cross-Entropy
- Bitwise-and
- BLEU
- Boosting
- Bounding Box
- Boxplot
- Branching
- Caffe
- Categorical Cross-Entropy
- CBOW
- Cellular Batching
- Chain-of-Thought (CoT)
- chain of thought - CoT inference
- Chat GPT
- Chunking
- Classification
- Clean Data
- Code
- Colab
- Compound Model Scaling
- Confidence
- Confusion Matrix
- Contextual Conversation Prompt
- Continuous Quantitative Variable
- Contour Filtering
- Contrastive Learning
- Convolution
- Convolutional Neural Network (CNN)
- Coreference
- Coreference Resolution
- Corpus
- Covariance Matrix
- Cox Regression
- Cross-Entropy
- Cross Validation
- Cross view Matching
- CUDA
- Data Analysis
- Data Augmentation
- data augmentation
- Dataframe in Pandas
- Data Pipeline
- Data Visualization
- Date-Related Features
- DBSCAN
- Decision Rules
- Decision Tree
- Decoder
- Deep Learning
- Deep Neural Networks
- DeNoising Detection Transformer | DN-DETR
- Dense Block
- Dense Layer
- Dense Network
- Dense Prediction Transformers (DPT)
- Dependency Parsing
- Depthwise Separable Convolution
- Detection Transformer - DETR
- Diffusion Models
- Discrete Quantitative Variable
- DIstillation of NO labels - DINO
- Divisive Clustering
- Domain Expert
- Domain Shift Problem
- Domain-Specific Features
- Dot Product
- Double Cross-Validation
- Downsampling
- Dropout
- Early Stopping
- Edge Detection Segmentation
- Eigen Face
- EigenValues
- EigenVector
- Elastic Net Regression
- Embedding Layer
- Emotion Detector
- Encoder
- Encoder-Decoder Attention Layer
- Ensemble
- Entropy
- Epoch
- Expanding Window Feature
- Expectation-Maximization (EM) Clustering using Gaussian Mixture Models (GMM)
- Experta
- Expert System
- Explanation Module
- Exponential Moving Average - EMA
- Extended Efficient Layer Aggregation Network (E-ELAN)
- Face Landmarks Estimation
- Facts
- False Negative
- False Positive
- Faster Region-Based Convolutional Neural Network (Faster R-CNN)
- Fast Region-Based Convolutional Neural Network (Fast R-CNN)
- Feature based Distillation
- Feature Engineering
- Feature Map
- Feature Vector
- Feedforward Network
- few shot learning
- Few-Shot Prompting
- Filter
- Filter Banks
- Fine-tuning
- Fisherface
- Flat Shaded
- Flatten
- FlexGen
- Forecasting
- Foreground Segmentation
- Forward Chaining
- Forward Looking Active Retrieval Augmented Generation -FLARE
- Framework
- Fully Connected Layer
- Fully Convolutional Adaptation Network - FCAN
- Gated Attention Mechanisms
- Gated Recurrent Unit Network GRU
- Generalization
- General Language Model - GLM
- Generative Pre-trained Transformer
- Geometric Transformations
- GoogLeNet
- Google's MobileNet
- GPT
- GrabCut Algorithm
- Gradient Accumulation
- Gradient Checkpointing
- Gram Anchoring
- Grid Search
- Grounding
- Ground-Truth
- Group Relative Policy Optimization - GRPO
- Hallucinated Content
- Hard Margin
- Heuristic Knowledge
- Hidden State
- Hierarchical Attention Network
- Hierarchical Deep Learning
- Histogram Of Oriented Gradient
- Hyperlane
- Hyper-Parameters
- Hyper-Parameter Setting
- Hyper-Parameter Tuning
- Hypothetical Document Embeddings - HyDE
- Identity Function
- Image Annotation
- Image Captioning
- Image Recognition
- Image Segmentation
- Image Segmentation based on Clustering
- IMDB
- Imitation Learning
- Inception Network
- Inference Engine
- Information Retrieval (IR)
- Inliers
- Instance Segmentation
- Interleaving Retrieval with Chain of Thought - IRCoT
- IRIS Dataset
- Iteration level Scheduling
- Iterative Algorithms
- Iterative Retrieval Generation - ITER-RETGEN
- Jupyter Notebook
- Karpathy Splits
- K-Distance
- Keras
- Kernel
- Kernel Density Plot
- Keys & Values Cache - KV Cache
- K-Means Clustering
- KNN Algorithm
- Knowledge Acquisition
- Knowledge Base
- Knowledge Engineer
- Knowledge Representation
- Label
- Lag Features
- Large Language Model Meta AI - LLaMA
- Large Language Models (LLMs)
- Lasso Regression
- Lead Head
- Learning Rate
- Lemmatization
- Linear regression
- Lineplot
- Local Optima
- Local Outlier Factor
- Logistic Regression
- Logits
- Long Short Term Memory LSTM
- Look Forward Twice -LFT
- Loss Function
- Low-Rank Adaptation
- Machine Translation
- MagicaVoxel
- Markov Decision Process
- Mask Approximations
- Masked Language Model (MLM)
- Mask R-CNN
- Massive Multi discipline Multimodal Understanding - MMMU
- MathVista
- Matplotlib
- Matrix Multiplication
- Matrix Product
- Max Pooling
- Mean-Shift Algorithm
- Meched-Memory Transformers
- meta-learning
- Mini-Batch
- Mini-Batch Size
- MNIST Dataset
- MobileNet
- Model Architecture
- Model-based RL
- Model Distillation
- Module
- Momentum
- MSCOCO
- Multi-Headed Attention
- Multi-Layer Perceptron - MLP
- Multimodal LLaMA
- Multimodel
- Multi-Resolution Search
- MxNet
- Named entity recognition (NER)
- Natural Language Toolkit (NLTK)
- Negative Binomial Regression
- Negative Skewed
- Neural Network
- Neural Style Transfer
- N-gram
- Numpy
- Object Detection
- One Hot Encoding
- OpenCv
- Open Pretrained Transformer - OPT
- Optimized LLM Layer Allocation - OLLA
- Optimizer
- Orca
- Ordinal Regression
- Outliers
- Overfitting
- Package
- Padding
- PagedAttention
- Pandas
- Parameter
- Parametric Knowledge Graph - PKG
- Partial Least Squares Regression
- Part of Speech
- pass@k
- Patch Embedding
- Pattern Recognition
- Pixel
- Point Cloud
- Poisson Regression
- Polynomial Features
- Polynomial Regression
- Pooling
- Positional Embedding
- Positional Encoding
- Positive Skewed
- Post Pruning
- Precision
- PrePruning
- Principal Component Analysis
- Principal Components Regression
- Projection Layer
- Prompt-based Retrieval Conditioned Alignment - PRCA
- Prompt Engineering
- Pruning
- Purity
- Pytorch
- Quantile Regression
- Quantitative Data
- Quantized Low-Ranking Adaptation
- Qubicle
- Query2Doc
- Random Erasing
- Random Forest
- Random Multimodel Deep Learning RMDL
- Raw Text
- Reachability Distance
- Recall
- Rectified Linear Unit (Relu)
- Recurrent Convolutional Neural Networks (RCNN)
- Recurrent Neural Networks RNN
- Reduction Blocks
- Region-Based Convolutional Neural Network (R-CNN)
- Region-based Segmentation
- Region of Interest Align (ROIAlign)
- Region Proposal Network (RPN)
- Regression
- Regularization
- Regularizer
- Reinforcement Learning
- Reinforcement Learning From Human Feedback (RLHF)
- Reinforcement Learning from Human Feedback - RLHF
- Reinforcement Learning with Curriculum Sampling - RLCS
- Reinforcement Learning with Verifiable Rewards - RLVR
- Relation based Distillation
- Rendering
- Re-Parameterization
- Representational Bottleneck
- Residual Connections
- Residual Network
- Response based Distillation
- RetinaNet
- retrieval augmented generation - RAG
- Retrieval augmented Large Language Model - RaLLe
- Retrieval Enhanced COMPosition - RECOMP
- Reward Function
- Reward Hacking
- Reward Noise
- Ridge Regression
- RMSPorp
- RoBERTa
- Rolling Window Feature
- rollouts
- RoPE - Rotary Position Embedding
- Rouge
- Rules
- Scalar Multiplication
- Scatterplot
- SciPy
- Segmented Backpropagation
- Selective Search
- Self-Attention Layer
- Self Supervision Learning - SSL
- Semantic Reasoning
- Semantic Segmentation
- Sentiment Analysis
- Seq2Seq Model
- Sequence
- SFT - supervised finetuning
- Sigmoid
- Single-Shot Detectors
- Single Shot Detector (SSD)
- Skip-Connection
- Skip-Gram
- SKLearn
- Slicing
- Sliding-Window
- Soft Margin
- Softmax
- Spectogram
- Speculative KD
- Statistical Features
- Stemming
- Step-back prompting
- Stochastic Gradient Descent (SGD)
- Stride
- Style Transfer
- Sub-Version
- Supervised Learning
- Support Vector Machine (SVM)
- Support Vector Regression
- Tanh
- Teacher–Student Models
- Temporal Grounding
- Tensor
- TensorFlow
- Text Analysis
- Text Mining
- TF-IDF
- tf.keras
- Theano
- Time Index Token
- Time Series
- Token
- Tokenization
- Topic Modeling
- Transfer Learning
- Transformer
- True Negative
- True Positive
- Two-Stage Detectors
- Underfitting
- U-net
- Universal Prompt Retrieval for In Context Learning -UPRISE
- Upsampling
- Validation Loss
- Vanishing Gradient Problem
- Vector Embedding
- Vector Space Modeling
- VGG Network
- Violinplot
- virtual large language model - vLLM
- Vision Encoder
- Vision Encoder
- Vision-Language Models
- Vision Transformer (ViT)
- Visual Geometry Group (VGG)
- Voxel
- Voxelshop
- Warp
- Weak to Strong Generalization
- Word2Vec
- Word Embedding
- WordPieceTokenizer
- YOLOv3
- You Only Look Once (YOLO)
- Zero-Shot Prompting