AI Glossary & Dictionary for “I”
Find the Flux+Form AI glossary & dictionary to help you make sense of common AI terms. Below you can find an AI Glossary & Dictionary for “I”:
Image Classification: The task of assigning labels to images based on their content, used in product tagging and visual search.
Image Generation: Using generative models to create realistic images, enabling automated creative production.
Imitation Learning: Training models to mimic expert behaviour by learning from demonstrations, applicable in customer service bots.
Implicit Feedback: User behaviour such as clicks or dwell time that indicates preferences without explicit ratings.
Importance Sampling: A statistical technique for estimating expected values by sampling from distributions that focus on important regions.
Incremental Learning: Updating models continuously as new data arrives to maintain performance over time.
Inductive Bias: Assumptions a model makes to generalize beyond its training data; understanding biases helps interpret predictions.
Inference: The process of applying a trained model to new data to generate predictions or outputs.
Influencer Network Analysis: Using AI to map relationships and influence patterns among creators to inform partnership strategies.
Information Bottleneck: A principle that describes how networks compress input information while preserving relevant signals.
Information Retrieval: Techniques for searching and extracting relevant information from large data repositories or the web.
Intent Prediction: Models that infer the underlying intent of users based on behavioural signals to target ads or content.
Interactive Learning: Systems that learn through ongoing interaction with users, improving over time based on feedback.
Interpretability: The degree to which a human can understand the reasoning behind a model’s predictions.
Intersection over Union: A metric used to evaluate object detection models by measuring the overlap between predicted and actual regions.
Intelligent Agent: A system capable of autonomous action in an environment to meet designed objectives.
Inversion Attack: A privacy attack where adversaries reconstruct original data from model outputs or embeddings; awareness is key for data security.
Iterative Development: An approach that builds solutions through repeated cycles of prototyping, testing and refinement.
This concludes the AI Glossary & Dictionary for “I”.