Glossary | TED AI

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AGI (Artificial General Intelligence)

ASI (Artificial Super Intelligence)

Accelerator

Agents

Alignment

Attention

Back Propagation

Bias

CLIP (Contrastive Language–Image Pretraining)

Chain of Thought

ChatGPT

Chatbot

Compute

Convolutional Neural Network (CNN)

Data Augmentation:

Deep Learning

Diffusion

Double Descent

Embedding

Emergent Behavior

End-to-End Learning

Expert Systems

Explainable AI (XAI)

Fine-tuning

Forward Propagation

Foundation Model

GPT (Generative Pretrained Transformer)

GPU (Graphics Processing Unit)

General Adversarial Network (GAN)

Generative AI

Gradient Descent

Hallucination

Hidden Layer

Hyperparameter Tuning

Inference

Instruction Tuning

Large Language Model (LLM)

Latent Space

Loss Function (or Cost Function)

Machine Learning

Mixture of Experts

Multimodal

Natural Language Processing (NLP)

NeRF (Neural Radiance Fields)

Neural Network

Objective Function

Overfitting

Parameters

Pre-training

Prompt

RLHF (Reinforcement Learning from Human Feedback)

Regularization

Reinforcement Learning

Singularity

Supervised Learning

Symbolic Artificial Intelligence

TPU (Tensor Processing Unit)

TensorFlow

Training Data

Transfer Learning

Transformer

Underfitting

Unsupervised Learning

Validation Data

XAI (Explainable AI)

Zero-shot Learning

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