AI Glossary & Dictionary for “Q”
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 “Q”:
Q‑Function: In reinforcement learning, a function that estimates the expected reward of taking a given action in a particular state.
Q‑Learning: A reinforcement learning algorithm that learns the optimal action‑selection policy by iteratively updating Q‑values.
Q‑Network: A neural network approximator for the Q‑function used in deep reinforcement learning.
Q‑Table: A table that stores the Q‑values for state–action pairs in simple reinforcement learning problems.
Quality Metric: Quantitative criteria used to judge the quality of models or content, such as relevance or clarity.
Quantization: Reducing the precision of model parameters or inputs to decrease memory usage and accelerate inference.
Query: A request for information from a database or search engine; in AI, query understanding drives relevant results.
Question Answering: Systems that extract or generate answers to natural language questions from text or knowledge bases.
Queue: A data structure or system that orders tasks or events for sequential processing.
This concludes the AI Glossary & Dictionary for “Q”.