Train/Test
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance.
26 topics found for
“model reliability”
Hallucination
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing.
Prompt Defense
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes.
Swiss Cheese Model
A risk management model that illustrates how multiple layers of defense (like slices of Swiss cheese) can prevent failures, despite each layer having its own weaknesses.
ModelOps
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
Cross Validation
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation.
Synthetic Data
Artificially generated data that mimics real data, used for training machine learning models.
RAG
Retrieval-Augmented Generation (RAG) is an AI approach that combines retrieval of relevant documents with generative models to produce accurate and contextually relevant responses.
Reflexion
The process of self-examination and adaptation in AI systems, where models evaluate and improve their own outputs or behaviors based on feedback.