Map

CM Tooltip Glossary

• NVE (as it relates to generative images)
• Vector Database
• Pinecone Database
• LlamaIndex
• Text-to-Speech (TTS)
• Automatic Speech Recognition (ASR)
• Document Summarization
• Paraphrasing
• Conversational Context
• Anaphora Resolution
• Turn-taking
• Chatbot
• Coreference Resolution
• Entity Extraction
• Sentiment Score
• Latent Dirichlet Allocation (LDA)
• Topic Modeling
• Semantic Analysis
• Syntactic Parsing
• Word Sense Disambiguation
• Lemmatization
• Stemming
• Stop Words
• Part-of-Speech Tagging (POS Tagging)
• Levenshtein Distance
• Skip-grams
• Bag of Words (BoW)
• TF-IDF (Term Frequency-Inverse Document Frequency)
• GloVe (Global Vectors for Word Representation)
• Cross-Validation
• Test Set
• Validation Set
• Datasets
• Multimodal Models
• Self-Attention
• Attention Models
• Bidirectional LSTM (BiLSTM)
• Capsule Networks (CapsNets)
• Knowledge Distillation
• Data Annotation
• Seq2Seq Models
• Dialog Systems
• Sentiment Analysis
• Named Entity Recognition (NER)
• Few-Shot Learning
• One-Shot Learning
• Zero-Shot Learning
• Autoregressive Models
• Temperature (in the context of AI models)
• Embedding Layer
• Word Embedding
• Encoder-Decoder Structure
• Long Short-Term Memory (LSTM)
• Recurrent Neural Networks (RNNs)
• Convolutional Neural Networks (CNNs)
• Multilayer Perceptron (MLP)
• Transfer Learning
• Data Augmentation
• Adam Optimizer
• Stochastic Gradient Descent (SGD)
• Gradient Descent
• Bias Node
• Bass and Variance
• Sigmoid Function
• Relu (Rectified Linear Unit)
• Activation Function
• Batch Size
• Hyperparameters
• Regularization
• Underfitting
• Overfitting
• Loss Function
• Backpropagation
• Discriminative Models
• Generative Models
• Reinforcement Learning
• Semi Supervised Learning
• Unsupervised Learning
• Supervised Learning
• BERT (Bidirectional Encoder Representations from Transformers)
• Context Window
• API
• Function Calling
• Sequence-to-Sequence Models
• Attention Mechanism
• Hugging Face
• Perplexity
• Burstiness
• Large Language Model (LMM)
• Chat Model
• Knowledge Cutoff
• Zero-shot, One-shot, and Few-shot Learning
• Token, Token Cost
• Prompt Engineering
• Prompt
• Fine-tuning
• Pretraining
• ChatGPT
• GPT Generative Pretrained Transformer (GPT)
• Transformer Models
• Natural Language Processing (NLP)
• Neural Network
• Deep Learning (DL)
• Machine Learning (ML)
• Artificial Intelligence (AI)