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Glossary
Guides
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Use cases
Tools
Comparisons
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AI Glossary
Explanations of terms from the broad field of AI
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Natural Language Generation (NLG)
Automatic creation of coherent text.
Natural Language Processing (NLP)
Processing and analyzing human language with computers.
Natural Language Understanding (NLU)
Semantic understanding of meaning and intent.
Neural Network
Connected layers of artificial neurons for pattern recognition.
Object Detection
Locating and classifying objects within an image.
Open-Source AI
Openly licensed models, datasets, and tools.
Optimizer
Algorithm adjusting parameters to minimize loss.
Overfitting
Model memorizes noise; performance drops on new data.
Perceptron
The simplest neural network with a linear decision boundary.
Planning / Reasoning
Structured planning and logical reasoning across steps.
Predictive Maintenance
Predicting equipment failures using sensor data.
Prompt
Input instruction for a model.
Prompt Engineering
Designing effective inputs for language models.
PyTorch
Flexible deep learning framework for research and production.
Python
Primary language for data science and machine learning ecosystems.
RAG Pipeline
Process: Index → Retrieval → Generation.
Recommender System
Personalized suggestions based on user behavior and preferences.
Recurrent Neural Network (RNN)
Sequence models with recurrent connections.
Regularization
Techniques to prevent overfitting.
Reinforcement Learning (RL)
Agents learn by receiving rewards in an environment.
Responsible AI
Practices for safe, fair, and robust AI deployment.
Retrieval-Augmented Generation (RAG)
Combines information retrieval with text generation.
Robotics
Machines that interact intelligently with their environment.
Safety
Preventing harmful outcomes and system failures.
Scikit-learn
Machine learning library for classical algorithms.
Self-Consistency
Sampling multiple answers to reach consensus.
Semantic Search
Search based on meaning instead of keywords.
Sentiment Analysis
Evaluation of sentiment and opinion in text.
Style Transfer
Transferring the artistic style of one image to another.
Supervised Learning
Training with labeled examples (input → target).
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