AI Glossary

This AI glossary page is a list of terms related to AI, ML, language model, LLM, etc. with proper descriptions. The terms here are in alphabetical order.

  • Anomaly Detection
  • Artificial Intelligence (AI)
  • Attention Mechanism
  • Autoencoders
  • Backpropagation
  • Bagging and Boosting
  • Bias and Variance Tradeoff
  • ChatGPT Reverse Proxy
  • Convolutional Neural Networks (CNN)
  • Cross-Validation
  • Data Augmentation
  • Data Preprocessing
  • Deep Learning (DL)
  • Early Stopping
  • Evaluation Metrics
  • F1-Score
  • Feature Engineering
  • Feature Extraction
  • Feature Selection
  • Fine-tuning
  • Generative Adversarial Networks (GAN)
  • Gradient Descent
  • Hyperparameters
  • Image Segmentation
  • Large Language Model (LLM)
  • Long Short-Term Memory (LSTM)
  • Loss Function
  • Machine Learning (ML)
  • Model Ensembles
  • Model Selection
  • Multi-task Learning
  • N-Grams
  • Named Entity Recognition (NER)
  • Natural Language Processing (NLP)
  • Neural Networks
  • Object Detection
  • One-hot Encoding
  • Open-Domain Question Answering
  • Optical Character Recognition (OCR)
  • Overfitting
  • Pre-training
  • Precision and Recall
  • Recurrent Neural Networks (RNN)
  • Regularization
  • Reinforcement Learning (RL)
  • Semi-Supervised Learning
  • Sentiment Analysis
  • Seq2Seq Models
  • Speech Recognition
  • Stochastic Gradient Descent
  • Supervised Learning
  • Swarming
  • Text Classification
  • Text Summarization
  • Tokenization
  • Transfer Learning
  • Transformer Models
  • Unsupervised Learning
  • Voice Synthesis
  • Word Embeddings