Glossary
Guides
Prompts
Use cases
Tools
Comparisons
MentoroAI
Glossary
Guides
Prompts
Use cases
Tools
Comparisons
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AI Glossary
Explanations of terms from the broad field of AI
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System Prompt
Initial instruction defining model behavior and tone.
Technological Singularity
Hypothetical point of rapid, uncontrollable progress.
Temperature (Sampling)
Controls the randomness of generated text.
TensorFlow
Open-source deep learning framework from Google.
Test Data
Untouched data for objective performance evaluation.
Text and Image Generation
Creating new content for creative or marketing purposes.
Text-to-Image
Generating images from text descriptions.
Text-to-Video
Video generation from text prompts.
Token (NLP)
Smallest processing unit for language models.
Tokenization
Splitting text into tokens (processing units).
Tool Use
Integrating external tools (APIs) into model chains.
Training Data
Data used for model learning.
Transfer Learning
Reusing knowledge from one task for another.
Transformer
Sequence model using attention instead of recurrence or convolution.
Transparency
Making data, models, and decisions understandable and traceable.
Transparency (General)
Clear disclosure of functionality and limitations.
Underfitting
Model is too simple to capture patterns.
Unsupervised Learning
Finding structure in unlabeled data (e.g., clustering).
Validation Data
Data used for model tuning (e.g., hyperparameters).
Variational Autoencoder (VAE)
Probabilistic autoencoder for generative modeling.
Vector Database
Index for similarity search in embedding spaces.
Zero-Shot Learning
Solving new tasks without examples.
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