RLHF
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.
312 topics found for
“machine learning”
Pre-Trained Transformer
An AI model that has been pre-trained on a large dataset and can be fine-tuned for specific tasks.
ModelOps
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
Synthetic Data
Artificially generated data that mimics real data, used for training machine learning models.
RankBrain
A machine learning-based search engine algorithm used by Google to help process search queries and provide more relevant results.
Train/Test
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance.
Prescriptive Analytics
The use of data, algorithms, and machine learning to recommend actions that can achieve desired outcomes.
Pattern Recognition
The ability to identify and interpret patterns in data, often used in machine learning and cognitive psychology.
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.