Synthetic Data
Artificially generated data that mimics real data, used for training machine learning models.
20 topics found for
“machine learning training”
RLHF
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
AI Pre-Training
The process of training an AI model on a large dataset before fine-tuning it for a specific task.
Pre-Trained Transformer
An AI model that has been pre-trained on a large dataset and can be fine-tuned for specific tasks.
Train/Test
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance.
Machine Learning
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed.
Generative Modeling
The use of algorithms to generate new data samples that resemble a training dataset, often used in AI for creating realistic outputs.
Negative Prompt
In AI and machine learning, a prompt that specifies what should be avoided or excluded in the generated output, guiding the system to produce more accurate and relevant results.
Neural Network
A set of algorithms, modeled loosely after the human brain, designed to recognize patterns and perform complex tasks.