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.
Prompt Engineering
The process of designing and refining prompts to elicit accurate and relevant responses from AI models.