Terms and definitions

Activation Function
Active Learning
AI Alignment
Anomaly Detection
Artificial General Intelligence (AGI)
Artificial Intelligence (AI)
Artificial Narrow Intelligence (ANI)
Attention Mechanism
Attention Score
Autoencoder
Automatic Evaluation
Autonomous Systems
Backpropagation
Bagging
Batch Size
Benchmarking
BERT (Bidirectional Encoder Representations from Transformers)
Bias
Bias in Language Models
Bias Mitigation
Binary Classification
Boosting
Bootstrapping
Byte Pair Encoding (BPE)
Causal Inference
Chatbot
Classification
Clustering
Coherence
Collaborative Filtering
Confusion Matrix
Context Window
Contextual Embeddings
Conversational AI
Convolutional Neural Network (CNN)
Coreference Resolution
Cross-Entropy Loss
Cross-Validation
Data Augmentation
Data Augmentation
Data Bias
Data Curation
Data Privacy
Data Privacy
Data Security
Decision Tree
Decoder
Deep Learning
Dialogue Systems
Dimensionality Reduction
DistilBERT
Dropout
Edge AI
Embedding
Encoder
Ensemble Learning
Ethics in AI
Evaluation Metrics
Explainable AI (XAI)
Explainable AI (XAI)
F1 Score
Feature Engineering
Feature Extraction
Federated Learning
Feedforward Neural Network
Few-shot Learning
Fine-tuning
Fine-tuning Dataset
Fine-tuning Objective
Fluency
Fuzzy Logic
Generative Adversarial Network (GAN)
Generative Model
GPT (Generative Pre-trained Transformer)
GPU (Graphical Processing Unit)
Gradient Clipping
Gradient Descent
Gradient Descent
GSM8K
Hugging Face
Human Evaluation
Human-in-the-loop
Hyperparameter
Hyperparameters
Inference
Inference Speed
Interpretability
Jupyter Notebook
Keras
Knowledge Distillation
Knowledge Graphs
Knowledge Representation
Language Generation
Language Modeling
Large Language Model (LLM)
Latency
Latent Space
Layer Normalization
Learning Rate
Long Short-Term Memory (LSTM)
Loss Function
Loss Function
Machine Learning (ML)
Model
Model Architecture
Model Checkpoint
Model Deployment
Model Deployment
Model Drift
Model Robustness
Model Size (parameters)
Model Training
Multimodal Learning
Multimodal Models
Named Entity Recognition (NER)
Natural Language Generation (NLG)
Natural Language Processing (NLP)
Natural Language Understanding (NLU)
Neural Architecture Search
Neural Network
Neural Processing Unit (NPU)
Neural Tokenization
N-grams
OpenAI
Outlier Detection
Overfitting
Performance Metrics
Perplexity
Precision
Pre-trained Model
Pre-training
Principal Component Analysis (PCA)
Prompt
Prompt Engineering
Prompt Engineering
Prompt Response
Prompt Tuning
PyTorch
Quantization
Random Forest
Recall
Recommendation System
Recurrent Neural Network (RNN)
Regression
Regularization
Reinforcement Learning
Reproducibility
Responsiveness
Retrieval-Augmented Generation (RAG)
Robotics
ROC Curve
Scalability
Scalability
Self-Attention
Semantic Analysis
Semantic Similarity
Semantic Understanding
Sentiment Analysis
Sentiment Analysis
Simulation
Subword Tokenization
Supervised Learning
Support Vector Machine (SVM)
Synthetic Aperture Radar (SAR)
Synthetic Data
T5 (Text-to-Text Transfer Transformer)
Task-Specific Adaptation
t-Distributed Stochastic Neighbor Embedding (t-SNE)
TensorFlow
Test Data
Test Set
Text Classification
Text Coherence
Text Completion
Time Series Analysis
Token Limit
Tokenization
Tokenization
Topic Modeling
Training Data
Training Dataset
Training Epoch
Transfer Function
Transfer Learning
Transfer Learning
Transformer
Tensor
Underfitting
Unsupervised Learning
Use Case
Validation Set
Variance
Word Embedding
XLNet
Zero-shot Learning

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