àªàª²àª¾àª‡àª¨àª®à«‡àª¨à«àªŸ (Alignment)

Alignment

àªàªªà«àª²àª¿àª•à«‡àª¶àª¨ àªªà«àª°à«‹àª—à«àª°àª¾àª®àª¿àª‚àª— àª‡àª¨à«àªŸàª°àª«à«‡àª¸ (API) (Application Programming Interface (API))

Application Programming Interface (API)

àª†àª°à«àªŸàª¿àª«àª¿àª¶àª¿àª¯àª² àªœàª¨àª°àª² àª‡àª¨à«àªŸà«‡àª²àª¿àªœàª¨à«àª¸ (AGI) (Artificial General Intelligence (AGI))

Artificial General Intelligence (AGI)

àª†àª°à«àªŸàª¿àª«àª¿àª¶àª¿àª¯àª² àª‡àª¨à«àªŸà«‡àª²àª¿àªœàª¨à«àª¸ (AI) (Artificial Intelligence (AI))

Artificial Intelligence (AI)

AI àª¨à«€àª¤àª¿àª¶àª¾àª¸à«àª¤à«àª° (AI Ethics)

AI Ethics

àª“àª—àª®à«‡àª¨à«àªŸà«‡àª¡ àª‡àª¨à«àªŸà«‡àª²àª¿àªœàª¨à«àª¸ (Augmented Intelligence)

Augmented Intelligence

àª“àªŸà«‹àª¨à«‹àª®àª¸ àªàªœàª¨à«àªŸ (Autonomous Agent)

Autonomous Agent

àª¬à«‡àª•àªªà«àª°à«‹àªªà«‡àª—à«‡àª¶àª¨ (Backpropagation)

Backpropagation

àªªàª•à«àª·àªªàª¾àª¤ (àªàª²à«àª—à«‹àª°àª¿àª§àª®àª¿àª• àªªàª•à«àª·àªªàª¾àª¤) (Bias (Algorithmic Bias))

Bias (Algorithmic Bias)

àª¬àª¿àª— àª¡à«‡àªŸàª¾ (Big Data)

Big Data

àª¬à«àª²à«‡àª• àª¬à«‹àª•à«àª¸ àª®à«‹àª¡à«‡àª² (Black Box Model)

Black Box Model

Cognitive Computing

àª•àª®à«àªªà«àª¯à«àªŸàª° àªµàª¿àªàª¨ (Computer Vision)

Computer Vision

àª•à«‹àª°à«àªªàª¸ (Corpus)

Corpus

àª¡à«‡àªŸàª¾ àª¡à«àª°àª¿àª«à«àªŸ (Data Drift)

Data Drift

àª¡à«‡àªŸàª¾ àª²à«‡àª¬àª²àª¿àª‚àª— (Data Labelling)

Data Labelling

àª¡à«‡àªŸàª¾ àª®àª¾àª‡àª¨àª¿àª‚àª— (Data Mining)

Data Mining

àª¡à«€àªª àª²àª°à«àª¨àª¿àª‚àª— (Deep Learning)

Deep Learning

àª¡àª¿àª«à«àª¯à«àªàª¨ àª®à«‹àª¡à«‡àª²à«àª¸ (Diffusion Models)

Diffusion Models

àªàª®à«àª¬à«‡àª¡àª¿àª‚àª— (Embedding)

Embedding

àªàªªà«‰àª• (Epoch)

Epoch

àªàª¥àª¿àª•àª² AI (Ethical AI)

Ethical AI

Expert System

àªàª•à«àª¸àªªà«àª²à«‡àª¨à«‡àª¬àª² AI (XAI) (Explainable AI (XAI))

Explainable AI (XAI)

àª«à«àª¯à«-àª¶à«‹àªŸ àª²àª°à«àª¨àª¿àª‚àª— (Few-shot Learning)

Few-shot Learning

àª«àª¾àª‡àª¨-àªŸà«àª¯à«àª¨àª¿àª‚àª— (Fine-tuning)

Fine-tuning

àª«àª¾àª‰àª¨à«àª¡à«‡àª¶àª¨ àª®à«‹àª¡à«‡àª² (Foundation Model)

Foundation Model

àª«àªà«€ àª²à«‹àªœàª¿àª• (Fuzzy Logic)

Fuzzy Logic

àªœàª¨àª°à«‡àªŸàª¿àªµ àªàª¡àªµàª°à«àª¸à«‡àª°àª¿àª¯àª² àª¨à«‡àªŸàªµàª°à«àª• (GAN) (Generative Adversarial Network (GAN))

Generative Adversarial Network (GAN)

àªœàª¨àª°à«‡àªŸàª¿àªµ AI (Generative AI)

Generative AI

àªœàª¨àª°à«‡àªŸàª¿àªµ àªªà«àª°à«€-àªŸà«àª°à«‡àª‡àª¨à«àª¡ àªŸà«àª°àª¾àª¨à«àª¸àª«à«‹àª°à«àª®àª° (GPT) (Generative Pre-trained Transformer (GPT))

Generative Pre-trained Transformer (GPT)

àªœà«‡àª¨à«‡àªŸàª¿àª• àªàª²à«àª—à«‹àª°àª¿àª§àª® (Genetic Algorithm)

Genetic Algorithm

àª¹à«‡àª²à«àª¯à«àª¸àª¿àª¨à«‡àª¶àª¨ (Hallucination)

Hallucination

àª¹à«àª¯à«àª°àª¿àª¸à«àªŸàª¿àª• (Heuristic)

Heuristic

àª¹àª¾àª‡àªªàª°àªªà«‡àª°àª¾àª®à«€àªŸàª° (Hyperparameter)

Hyperparameter

àª‡àª¨à«àª«àª°àª¨à«àª¸ (Inference)

Inference

àª‡àª¨à«àªŸà«‡àª¨à«àªŸ àª¡àª¿àªŸà«‡àª•à«àª¶àª¨ (Intent Detection)

Intent Detection

àª‡àª¨à«àªŸàª°àª¨à«‡àªŸ àª“àª« àª¥àª¿àª‚àª—à«àª¸ (IoT) (Internet of Things (IoT))

Internet of Things (IoT)

Interpretability

àªœà«àª¯à«àªªàª¿àªŸàª° àª¨à«‹àªŸàª¬à«àª• (Jupyter Notebook)

Jupyter Notebook

K-àª¨àª¿àª¯àª°à«‡àª¸à«àªŸ àª¨à«‡àª‡àª¬àª°à«àª¸ (KNN) (K-Nearest Neighbours (KNN))

K-Nearest Neighbours (KNN)

àª¨à«‹àª²à«‡àªœ àª—à«àª°àª¾àª« (Knowledge Graph)

Knowledge Graph

àª²à«‡àª‚àª—à«àªµà«‡àªœ àª²àª°à«àª¨àª¿àª‚àª— àª®à«‹àª¡à«‡àª² àª“àªªà«àªŸàª¿àª®àª¾àª‡àªà«‡àª¶àª¨ (LLMO) (Language Learning Model Optimisation (LLMO))

Language Learning Model Optimisation (LLMO)

àª²àª¾àª°à«àªœ àª²à«‡àª‚àª—à«àªµà«‡àªœ àª®à«‹àª¡à«‡àª² (LLM) (Large Language Model (LLM))

Large Language Model (LLM)

àª²à«‡àªŸàª¨à«àªŸ àª¸à«àªªà«‡àª¸ (Latent Space)

Latent Space

àª²àª°à«àª¨àª¿àª‚àª— àª°à«‡àªŸ (Learning Rate)

Learning Rate

àª®àª¶à«€àª¨ àª²àª°à«àª¨àª¿àª‚àª— (ML) (Machine Learning (ML))

Machine Learning (ML)

àª®à«‹àª¡à«‡àª² àª¡à«àª°àª¿àª«à«àªŸ (Model Drift)

Model Drift

àª®à«‹àª¡à«‡àª² àªŸà«àª°à«‡àª¨àª¿àª‚àª— (Model Training)

Model Training

àª®àª²à«àªŸàª¿àª®à«‹àª¡àª² AI (Multimodal AI)

Multimodal AI

àª¨à«‡àªšàª°àª² àª²à«‡àª‚àª—à«àªµà«‡àªœ àªªà«àª°à«‹àª¸à«‡àª¸àª¿àª‚àª— (NLP) (Natural Language Processing (NLP))

Natural Language Processing (NLP)

àª¨à«àª¯à«àª°àª² àª¨à«‡àªŸàªµàª°à«àª• (Neural Network)

Neural Network

àª¨à«‹àª‡àª (Noise)

Noise

àª“àª¨à«àªŸà«‹àª²à«‹àªœà«€ (Ontology)

Ontology

àª“àªµàª°àª«àª¿àªŸàª¿àª‚àª— (Overfitting)

Overfitting

Predictive Analytics

àªªà«àª°à«€-àªŸà«àª°à«‡àª¨àª¿àª‚àª— (Pre-training)

Pre-training

Prompt Engineering

Quantisation

Quantum Computing

àª°àª¿àªàª¨àª¿àª‚àª— àªàª¨à«àªœàª¿àª¨ (Reasoning Engine)

Reasoning Engine

àª°àª¿àª‡àª¨à«àª«à«‹àª°à«àª¸àª®à«‡àª¨à«àªŸ àª²àª°à«àª¨àª¿àª‚àª— (RL) (Reinforcement Learning (RL))

Reinforcement Learning (RL)

àª°àª¿àª‡àª¨à«àª«à«‹àª°à«àª¸àª®à«‡àª¨à«àªŸ àª²àª°à«àª¨àª¿àª‚àª— àªµàª¿àª¥ àª¹à«àª¯à«àª®àª¨ àª«à«€àª¡àª¬à«‡àª• (RLHF) (Reinforcement Learning with Human Feedback (RLHF))

Reinforcement Learning with Human Feedback (RLHF)

àª°àª¿àªŸà«àª°à«€àªµàª²-àª“àª—àª®à«‡àª¨à«àªŸà«‡àª¡ àªœàª¨àª°à«‡àª¶àª¨ (RAG) (Retrieval-Augmented Generation (RAG))

Retrieval-Augmented Generation (RAG)

àª¸à«‡àª²à«àª«-àª¸à«àªªàª°àªµàª¾àª‡àªà«àª¡ àª²àª°à«àª¨àª¿àª‚àª— (Self-Supervised Learning)

Self-Supervised Learning

àª¸àª¿àª®à«‡àª¨à«àªŸàª¿àª• àª¸àª°à«àªš (Semantic Search)

Semantic Search

Sentiment Analysis

àª¸à«àªŸà«‹àª•à«‡àª¸à«àªŸàª¿àª• (Stochastic)

Stochastic

àª¸à«àªŸà«àª°à«‹àª‚àª— AI (Strong AI)

Strong AI

àª¸à«àªªàª° àª†àª°à«àªŸàª¿àª«àª¿àª¶àª¿àª¯àª² àª‡àª¨à«àªŸà«‡àª²àª¿àªœàª¨à«àª¸ (SAI) (Super Artificial Intelligence (SAI))

Super Artificial Intelligence (SAI)

àª¸à«àªªàª°àªµàª¾àª‡àªà«àª¡ àª²àª°à«àª¨àª¿àª‚àª— (Supervised Learning)

Supervised Learning

àª¸àª¿àª¨à«àª¥à«‡àªŸàª¿àª• àª¡à«‡àªŸàª¾ (Synthetic Data)

Synthetic Data

àªŸà«‹àª•àª¨ (Token)

Token

àªŸà«‹àª•àª¨àª¾àª‡àªà«‡àª¶àª¨ (Tokenisation)

Tokenisation

àª‰àª¦àª¾àª¹àª°àª£: NLP àª®àª¾àª‚, 'ChatGPT àª®àª¹àª¾àª¨ àª›à«‡' ['Chat', 'G', 'PT', 'is', 'great'] àª®àª¾àª‚ àª«à«‡àª°àªµàª¾àª¯ àª›à«‡.

àªŸà«àª°àª¾àª¨à«àª¸àª«àª° àª²àª°à«àª¨àª¿àª‚àª— (Transfer Learning)

Transfer Learning

Transformer

àª…àª‚àª¡àª°àª«àª¿àªŸàª¿àª‚àª— (Underfitting)

Underfitting

àª…àª¨àª¸à«àªªàª°àªµàª¾àª‡àªà«àª¡ àª²àª°à«àª¨àª¿àª‚àª— (Unsupervised Learning)

Unsupervised Learning

àª¯à«àªàª° àª‡àª¨à«àªŸà«‡àª¨à«àªŸ (User Intent)

User Intent

àªµà«‡àª²àª¿àª¡à«‡àª¶àª¨ àª¸à«‡àªŸ (Validation Set)

Validation Set

àªµà«‡àª•à«àªŸàª° àª¡à«‡àªŸàª¾àª¬à«‡àª (Vector Database)

Vector Database

àªµà«‡àª•à«àªŸàª° àªàª®à«àª¬à«‡àª¡àª¿àª‚àª— (Vector Embedding)

Vector Embedding

Virtual Assistant

àªµà«‹àª‡àª¸ àª°à«‡àª•àª—à«àª¨àª¿àª¶àª¨ (Voice Recognition)

Voice Recognition

àªµà«€àª• AI (Weak AI)

Weak AI

àªµà«‡àª¬ àª¸à«àª•à«àª°à«‡àªªàª¿àª‚àª— (Web Scraping)

Web Scraping

àªµà«‡àª‡àªŸ (Weight)

Weight

àªµà«àª¹àª¿àª¸à«àªªàª° (Whisper)

Whisper

YAML (YAML)

YAML

àªà«€àª°à«‹-àª¶à«‹àªŸ àª²àª°à«àª¨àª¿àª‚àª— (Zero-shot Learning)

Zero-shot Learning

àªà«‡àªŸà«àªŸàª¾àª¬àª¾àª‡àªŸ (Zettabyte)

Zettabyte

AI àª¶àª¬à«àª¦àª•à«‹àª·

àªàª²àª¾àª‡àª¨àª®à«‡àª¨à«àªŸ (Alignment)

àªàªªà«àª²àª¿àª•à«‡àª¶àª¨ àªªà«àª°à«‹àª—à«àª°àª¾àª®àª¿àª‚àª— àª‡àª¨à«àªŸàª°àª«à«‡àª¸ (API) (Application Programming Interface (API))

àª†àª°à«àªŸàª¿àª«àª¿àª¶àª¿àª¯àª² àªœàª¨àª°àª² àª‡àª¨à«àªŸà«‡àª²àª¿àªœàª¨à«àª¸ (AGI) (Artificial General Intelligence (AGI))

àª†àª°à«àªŸàª¿àª«àª¿àª¶àª¿àª¯àª² àª‡àª¨à«àªŸà«‡àª²àª¿àªœàª¨à«àª¸ (AI) (Artificial Intelligence (AI))

AI àª¨à«€àª¤àª¿àª¶àª¾àª¸à«àª¤à«àª° (AI Ethics)

àª“àª—àª®à«‡àª¨à«àªŸà«‡àª¡ àª‡àª¨à«àªŸà«‡àª²àª¿àªœàª¨à«àª¸ (Augmented Intelligence)

àª“àªŸà«‹àª¨à«‹àª®àª¸ àªàªœàª¨à«àªŸ (Autonomous Agent)

àª¬à«‡àª•àªªà«àª°à«‹àªªà«‡àª—à«‡àª¶àª¨ (Backpropagation)

àªªàª•à«àª·àªªàª¾àª¤ (àªàª²à«àª—à«‹àª°àª¿àª§àª®àª¿àª• àªªàª•à«àª·àªªàª¾àª¤) (Bias (Algorithmic Bias))

àª¬àª¿àª— àª¡à«‡àªŸàª¾ (Big Data)

àª¬à«àª²à«‡àª• àª¬à«‹àª•à«àª¸ àª®à«‹àª¡à«‡àª² (Black Box Model)

àª•à«‹àª—à«àª¨àª¿àªŸàª¿àªµ àª•àª®à«àªªà«àª¯à«àªŸàª¿àª‚àª— (Cognitive Computing)

àª•àª®à«àªªà«àª¯à«àªŸàª° àªµàª¿àªàª¨ (Computer Vision)

àª•à«‹àª°à«àªªàª¸ (Corpus)

àª¡à«‡àªŸàª¾ àª¡à«àª°àª¿àª«à«àªŸ (Data Drift)

àª¡à«‡àªŸàª¾ àª²à«‡àª¬àª²àª¿àª‚àª— (Data Labelling)

àª¡à«‡àªŸàª¾ àª®àª¾àª‡àª¨àª¿àª‚àª— (Data Mining)

àª¡à«€àªª àª²àª°à«àª¨àª¿àª‚àª— (Deep Learning)

àª¡àª¿àª«à«àª¯à«àªàª¨ àª®à«‹àª¡à«‡àª²à«àª¸ (Diffusion Models)

àªàª®à«àª¬à«‡àª¡àª¿àª‚àª— (Embedding)

àªàªªà«‰àª• (Epoch)

àªàª¥àª¿àª•àª² AI (Ethical AI)

àªàª•à«àª¸àªªàª°à«àªŸ àª¸àª¿àª¸à«àªŸàª® (Expert System)

àªàª•à«àª¸àªªà«àª²à«‡àª¨à«‡àª¬àª² AI (XAI) (Explainable AI (XAI))

àª«à«àª¯à«-àª¶à«‹àªŸ àª²àª°à«àª¨àª¿àª‚àª— (Few-shot Learning)

àª«àª¾àª‡àª¨-àªŸà«àª¯à«àª¨àª¿àª‚àª— (Fine-tuning)

àª«àª¾àª‰àª¨à«àª¡à«‡àª¶àª¨ àª®à«‹àª¡à«‡àª² (Foundation Model)

àª«àªà«€ àª²à«‹àªœàª¿àª• (Fuzzy Logic)

àªœàª¨àª°à«‡àªŸàª¿àªµ àªàª¡àªµàª°à«àª¸à«‡àª°àª¿àª¯àª² àª¨à«‡àªŸàªµàª°à«àª• (GAN) (Generative Adversarial Network (GAN))

àªœàª¨àª°à«‡àªŸàª¿àªµ AI (Generative AI)

àªœàª¨àª°à«‡àªŸàª¿àªµ àªªà«àª°à«€-àªŸà«àª°à«‡àª‡àª¨à«àª¡ àªŸà«àª°àª¾àª¨à«àª¸àª«à«‹àª°à«àª®àª° (GPT) (Generative Pre-trained Transformer (GPT))

àªœà«‡àª¨à«‡àªŸàª¿àª• àªàª²à«àª—à«‹àª°àª¿àª§àª® (Genetic Algorithm)

àª¹à«‡àª²à«àª¯à«àª¸àª¿àª¨à«‡àª¶àª¨ (Hallucination)

àª¹à«àª¯à«àª°àª¿àª¸à«àªŸàª¿àª• (Heuristic)

àª¹àª¾àª‡àªªàª°àªªà«‡àª°àª¾àª®à«€àªŸàª° (Hyperparameter)

àª‡àª¨à«àª«àª°àª¨à«àª¸ (Inference)

àª‡àª¨à«àªŸà«‡àª¨à«àªŸ àª¡àª¿àªŸà«‡àª•à«àª¶àª¨ (Intent Detection)

àª‡àª¨à«àªŸàª°àª¨à«‡àªŸ àª“àª« àª¥àª¿àª‚àª—à«àª¸ (IoT) (Internet of Things (IoT))

àª‡àª¨à«àªŸàª°àªªà«àª°àª¿àªŸà«‡àª¬àª¿àª²àª¿àªŸà«€ (Interpretability)

àªœà«àª¯à«àªªàª¿àªŸàª° àª¨à«‹àªŸàª¬à«àª• (Jupyter Notebook)

K-àª¨àª¿àª¯àª°à«‡àª¸à«àªŸ àª¨à«‡àª‡àª¬àª°à«àª¸ (KNN) (K-Nearest Neighbours (KNN))

àª¨à«‹àª²à«‡àªœ àª—à«àª°àª¾àª« (Knowledge Graph)

àª²à«‡àª‚àª—à«àªµà«‡àªœ àª²àª°à«àª¨àª¿àª‚àª— àª®à«‹àª¡à«‡àª² àª“àªªà«àªŸàª¿àª®àª¾àª‡àªà«‡àª¶àª¨ (LLMO) (Language Learning Model Optimisation (LLMO))

àª²àª¾àª°à«àªœ àª²à«‡àª‚àª—à«àªµà«‡àªœ àª®à«‹àª¡à«‡àª² (LLM) (Large Language Model (LLM))

àª²à«‡àªŸàª¨à«àªŸ àª¸à«àªªà«‡àª¸ (Latent Space)

àª²àª°à«àª¨àª¿àª‚àª— àª°à«‡àªŸ (Learning Rate)

àª®àª¶à«€àª¨ àª²àª°à«àª¨àª¿àª‚àª— (ML) (Machine Learning (ML))

àª®à«‹àª¡à«‡àª² àª¡à«àª°àª¿àª«à«àªŸ (Model Drift)

àª®à«‹àª¡à«‡àª² àªŸà«àª°à«‡àª¨àª¿àª‚àª— (Model Training)

àª®àª²à«àªŸàª¿àª®à«‹àª¡àª² AI (Multimodal AI)

àª¨à«‡àªšàª°àª² àª²à«‡àª‚àª—à«àªµà«‡àªœ àªªà«àª°à«‹àª¸à«‡àª¸àª¿àª‚àª— (NLP) (Natural Language Processing (NLP))

àª¨à«àª¯à«àª°àª² àª¨à«‡àªŸàªµàª°à«àª• (Neural Network)

àª¨à«‹àª‡àª (Noise)

àª“àª¨à«àªŸà«‹àª²à«‹àªœà«€ (Ontology)

àª“àªµàª°àª«àª¿àªŸàª¿àª‚àª— (Overfitting)

àªªà«àª°àª¿àª¡àª¿àª•à«àªŸàª¿àªµ àªàª¨àª¾àª²àª¿àªŸàª¿àª•à«àª¸ (Predictive Analytics)

àªªà«àª°à«€-àªŸà«àª°à«‡àª¨àª¿àª‚àª— (Pre-training)

àªªà«àª°à«‹àª®à«àªªà«àªŸ àªàª¨à«àªœàª¿àª¨àª¿àª¯àª°àª¿àª‚àª— (Prompt Engineering)

àª•à«àªµà«‹àª¨à«àªŸàª¾àª‡àªà«‡àª¶àª¨ (Quantisation)

àª•à«àªµà«‹àª¨à«àªŸàª® àª•àª®à«àªªà«àª¯à«àªŸàª¿àª‚àª— (Quantum Computing)

àª°àª¿àªàª¨àª¿àª‚àª— àªàª¨à«àªœàª¿àª¨ (Reasoning Engine)

àª°àª¿àª‡àª¨à«àª«à«‹àª°à«àª¸àª®à«‡àª¨à«àªŸ àª²àª°à«àª¨àª¿àª‚àª— (RL) (Reinforcement Learning (RL))

àª°àª¿àª‡àª¨à«àª«à«‹àª°à«àª¸àª®à«‡àª¨à«àªŸ àª²àª°à«àª¨àª¿àª‚àª— àªµàª¿àª¥ àª¹à«àª¯à«àª®àª¨ àª«à«€àª¡àª¬à«‡àª• (RLHF) (Reinforcement Learning with Human Feedback (RLHF))

àª°àª¿àªŸà«àª°à«€àªµàª²-àª“àª—àª®à«‡àª¨à«àªŸà«‡àª¡ àªœàª¨àª°à«‡àª¶àª¨ (RAG) (Retrieval-Augmented Generation (RAG))

àª¸à«‡àª²à«àª«-àª¸à«àªªàª°àªµàª¾àª‡àªà«àª¡ àª²àª°à«àª¨àª¿àª‚àª— (Self-Supervised Learning)

àª¸àª¿àª®à«‡àª¨à«àªŸàª¿àª• àª¸àª°à«àªš (Semantic Search)

àª¸à«‡àª¨à«àªŸàª¿àª®à«‡àª¨à«àªŸ àªàª¨àª¾àª²àª¿àª¸àª¿àª¸ (Sentiment Analysis)

àª¸à«àªŸà«‹àª•à«‡àª¸à«àªŸàª¿àª• (Stochastic)

àª¸à«àªŸà«àª°à«‹àª‚àª— AI (Strong AI)

àª¸à«àªªàª° àª†àª°à«àªŸàª¿àª«àª¿àª¶àª¿àª¯àª² àª‡àª¨à«àªŸà«‡àª²àª¿àªœàª¨à«àª¸ (SAI) (Super Artificial Intelligence (SAI))

àª¸à«àªªàª°àªµàª¾àª‡àªà«àª¡ àª²àª°à«àª¨àª¿àª‚àª— (Supervised Learning)

àª¸àª¿àª¨à«àª¥à«‡àªŸàª¿àª• àª¡à«‡àªŸàª¾ (Synthetic Data)