AI Glossary & Dictionary for “T”
Find the Flux+Form AI glossary & dictionary to help you make sense of common AI terms. Below you can find a AI Glossary & Dictionary for “T”:
Target Variable
The value a model is trained to predict. Picture the answer key that a system is trying to learn to reproduce.
Temperature
In language models, a parameter controlling the randomness of outputs. Like adjusting how creative versus conservative an AI system is when generating responses.
Temporal Data
Data that represents information over time. Similar to tracking weather patterns across days, months, or years.
Tensor
A mathematical object representing multi-dimensional data. Imagine a data container that can hold information in multiple directions, like a 3D spreadsheet.
TensorFlow
A popular framework for building and training machine learning models. Like a sophisticated workshop filled with specialized tools for creating AI systems.
Test Set
A subset of data used to evaluate a model’s final performance. Picture a final exam that tests how well a system has learned.
Text Mining
The process of extracting meaningful patterns and insights from text data. Like having a researcher who can quickly identify trends across thousands of documents.
Threshold
A cutoff value that determines when a model makes certain decisions. Similar to setting a minimum score required to pass an exam.
Time Series
Data points collected or recorded in time order. Picture tracking a company’s stock price throughout each trading day.
Token
In natural language processing, a unit of text like a word or subword. Like the building blocks used to construct sentences and paragraphs.
Tokenization
The process of breaking text into smaller units for processing. Imagine breaking a book into individual words, punctuation marks, and symbols.
Topic Modeling
A technique for discovering abstract themes in a collection of documents. Like automatically organizing articles into categories based on their content.
Training Data
The dataset used to teach a model patterns and relationships. Similar to the practice problems a student uses to learn a subject.
Training Loop
The iterative process of updating model parameters during learning. Picture a coach running drills with athletes, making adjustments after each attempt.
Transfer Learning
A technique that applies knowledge from one task to help learn another. Like using your knowledge of Spanish to help learn Italian.
Transformer
A neural network architecture designed for processing sequential data. Imagine a system that can understand the relationships between all parts of a sequence simultaneously.
Translation
In machine learning, converting information from one form or language to another. Like having a universal interpreter that can convert between any languages.
Tree Ensemble
A collection of decision trees working together to make predictions. Picture a forest where each tree contributes to the final decision.
True Negative
A correct prediction that an instance is negative. Similar to correctly identifying that an email is not spam.
True Positive
A correct prediction that an instance is positive. Like successfully identifying a security threat that was actually present.
Tuning
The process of adjusting model parameters to improve performance. Picture fine-tuning a piano to produce the perfect sound.
Two-Stream Network
A neural network that processes spatial and temporal information separately. Like having one system watch what’s in a video while another tracks how things move.
This concludes our AI Glossary & Dictionary for “T.”
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