TEDAI

Glossary

A

Accelerator
Agents
AGI (Artificial General Intelligence)
AI Diagnosis Systems
AI-Driven Decision Support Systems
AI-Generated Music
AI Medical Imaging
AI Protein Folding
Alignment
AlphaZero
ASI (Artificial Super Intelligence)
Attention
AutoML Automated Machine Learning
Autonomous Systems
Autoregressive Models

B

Back Propagation
Backpropagation Through Time BPTT
Bayesian Networks
BERT
Bias

C

Capsule Networks
Chain of Thought
Chatbot
ChatGPT
Claude
CLIP (Contrastive Language–Image Pretraining)
Cognitive Computing
Competitive Agents
Computational Linguistics
Compute
Content Personalization
Convolutional Neural Network (CNN)
Cooperative Agents

D

Data Augmentation
Decision Trees
Deep Learning
Deep Reinforcement Learning
Deepfake
Diffusion
Distributed Data Parallel
Double Descent
Dropout

E

Embedding
Emergent Behavior
End-to-End Learning
Evolutionary Algorithms
Expert Systems
Explainable AI (XAI)

F

Facial Recognition
Federated Learning
Fine-tuning
Flash Attention
Forward Propagation
Foundation Agent
Foundation Model

G

Gemini
General Adversarial Network (GAN)
Generative AI
Genetic Algorithms
Goal-Based Agents
GPT-4
GPT (Generative Pretrained Transformer)
GPU (Graphics Processing Unit)
Gradient Descent

H

Hallucination
Healthcare Workflow Automation
Hebbian Learning
Hidden Layer
Hyperparameter Tuning

I

Image Recognition
Inference
Instruction Tuning
Intelligent Automation
Intelligent Document Processing

K

Knowledge Graphs

L

LangChain
Large Language Model (LLM)
Latent Space
Learning Agents
Loss Function (or Cost Function)
LSTM Long Short Term Memory

M

Machine Learning
Meta-Learning
Mixture of Experts
Model-Based Agents
Monte Carlo Tree Search MCTS
Multi-Step Reasoning Agents
Multimodal

N

Narrow Artificial Intelligence
Natural Language Processing (NLP)
NeRF (Neural Radiance Fields)
Neural Architecture Search
Neural Network

O

Objective Function
One-shot Learning
Open Source AI Models
Overfitting

P

Parameters
Perceptron
Pre-training
Predictive Artificial Intelligence
Prompt Engineering
Prompt

Q

Quantum Computing

R

Random Forests
Regularization
Reinforcement Learning
Retrieval Augmented Generation
RLHF (Reinforcement Learning from Human Feedback)
RNN

S

Self-Attention
Semantic Segmentation
Sentiment Analysis
Simple Reflex Agents
Singularity
Supervised Learning
Swarm Intelligence
Symbolic Artificial Intelligence
Synthetic Data

T

TensorFlow
The Simulation Hypothesis
Time Series Analysis
TPU (Tensor Processing Unit)
Training Data
Transfer Learning
Transformer Models
Transformer
Transformers

U

Uncanny Valley
Underfitting
Unsupervised Learning
Utility-Based Agents

V

Validation Data
Variational Autoencoders VAE
Vector Database
Voice Cloning

W

Weights
Word Embeddings

X

XAI (Explainable AI)
Xformers

Y

YOLO You Only Look Once

Z

Zero-shot Learning