Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
Inference
RAG
Retrieval-augmented generation augments LLM prompts with retrieved documents or structured context so answers can stay grounded in your data instead of relying only on model weights.
Safety
ReAct
ReAct is a core generative-AI concept used across modeling, product, and governance discussions.
Disaster Recovery
recovery-point-objective
A metric that defines the maximum acceptable amount of data loss measured in time for a system after a failure.
Deep Learning
Recurrent Neural Network (RNN)
A type of neural network designed for sequential data processing.
Deep Learning
recurrent-neural-network
A class of neural networks designed for processing sequences of data.
Modeling
Regularization
A technique used to prevent overfitting by adding a penalty to the loss function.
Machine Learning
Reinforcement Learning
A type of machine learning focused on teaching agents to make decisions by maximizing cumulative rewards.
Machine Learning
reinforcement-learning-from-human-feedback
An approach in reinforcement learning where human feedback is used to shape agent learning and decision-making.
Training
retrieval augmented generation
Retrieval-augmented generation (RAG) grounds answers on retrieved documents instead of parametric memory alone.
Product
reward model
reward model is a core generative-AI concept used across modeling, product, and governance discussions.
Training
RLHF
RLHF aligns a model to human preferences using a reward model and reinforcement-style optimization.
Automation
robotic process automation
Robotic process automation (RPA) is the use of software robots to automate repetitive tasks.
Engineering
robotics
The interdisciplinary field that combines engineering, computer science, and more to design and build robots.
Quality Assurance
robotics-testing
Evaluation processes to ensure the functionality and safety of robotic systems.
Model Evaluation
Robustness
The ability of a model to maintain performance despite variations in input data or conditions.
Model Evaluation
Robustness Testing
Evaluating how well a model performs under various adversarial conditions.
Data Analysis
root-cause-analysis
The process of identifying the primary cause of a problem or defect.
Product
rotary positional encoding
rotary positional encoding is a core generative-AI concept used across modeling, product, and governance discussions.