Synthetic Data
[/sɪnˈθetɪk ˈdeɪtə/]
Definitions
Automatischer Uebersetzungsentwurf (German) for "Synthetic Data": Artificially generated data that mimics the statistical properties of real-world data, used for training or testing AI models. Synthetic data can be created by generative models, rule-based systems, or simulations, and is especially valuable when real data is scarce, sensitive, or expensive to collect.
“Beispielentwurf: We generated synthetic medical records to train the model without risking patient privacy.”
Related Terms
- Fine-TuningAI & Technology
Automatischer Uebersetzungsentwurf (German) for "Fine-Tuning": The process of further training a pre-trained model on a smaller, task-specific dataset to adapt its behavior for a p...
- EmbeddingsAI & Technology
Automatischer Uebersetzungsentwurf (German) for "Embeddings": Dense numerical vector representations of words, sentences, or other data that capture semantic meaning. Similar conce...
- InferenceAI & Technology
Automatischer Uebersetzungsentwurf (German) for "Inference": The act of running a trained machine learning model on new input data to generate predictions or outputs. Inference is ...
- Neural NetworkAI & Technology
Automatischer Uebersetzungsentwurf (German) for "Neural Network": A computational model loosely inspired by biological neurons, consisting of interconnected layers of mathematical ...
- RLHFAI & Technology
Automatischer Uebersetzungsentwurf (German) for "RLHF": Reinforcement Learning from Human Feedback — a training technique used to align language models with human preferences. Huma...
- AgenticAI & Technology
Automatischer Uebersetzungsentwurf (German) for "Agentic": Describing AI systems capable of autonomous action, planning, and decision-making. An agentic AI can break down tasks, us...