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