Artificial Intelligence Terms

Artificial Intelligence is transforming the way we work, learn, create, and communicate. As this technology evolves, its vocabulary grows just as rapidly, introducing new concepts that can be challenging to understand.

To help readers explore this fascinating field, **ArticleCorner.com** has created this comprehensive Artificial Intelligence Glossary. Each term is presented with a clear and concise explanation, making complex AI concepts easier to understand for students, professionals, developers, researchers and curious minds alike.

Whether you are taking your first steps into AI or expanding your technical knowledge, we hope this glossary becomes a valuable reference on your journey through the world of artificial intelligence.

Term	Description
Artificial Intelligence (AI)	Machines performing tasks requiring human intelligence.
Artificial General Intelligence (AGI)	AI with human-level general reasoning.
Artificial Super Intelligence (ASI)	AI exceeding human intelligence.
Machine Learning	Algorithms that learn from data.
Deep Learning	Machine learning using deep neural networks.
Neural Network	Brain-inspired computational model.
Large Language Model (LLM)	AI model trained on massive text.
Small Language Model (SLM)	Compact language model.
Transformer	Neural architecture using attention.
Token	Small text unit processed by models.
Embedding	Numeric representation of data.
Prompt	Instruction given to an AI model.
Prompt Engineering	Designing effective prompts.
Fine-tuning	Adapting a pretrained model.
Training	Teaching a model using data.
Inference	Running a trained model.
Reinforcement Learning	Learning through rewards.
RLHF	Reinforcement Learning from Human Feedback.
Computer Vision	AI understanding images.
Natural Language Processing	AI processing human language.
Sentiment Analysis	Detecting emotional tone.
Named Entity Recognition	Finding names and entities in text.
Text Generation	Producing written content.
Image Generation	Creating images with AI.
Speech Recognition	Converting speech into text.
Text-to-Speech	Generating speech from text.
Diffusion Model	Generative image model.
GAN	Generator and discriminator network.
CNN	Convolutional neural network.
RNN	Recurrent neural network.
LSTM	Long short-term memory network.
Attention	Mechanism focusing on relevant information.
Context Window	Maximum input length.
Hallucination	Incorrect AI-generated information.
Overfitting	Model memorizes training data.
Underfitting	Model fails to learn patterns.
Accuracy	Overall prediction correctness.
Precision	Correct positive prediction rate.
Recall	Ability to find positives.
F1 Score	Balanced precision and recall.
Loss Function	Measures prediction error.
Gradient Descent	Optimization algorithm.
Learning Rate	Optimization step size.
Epoch	One full training pass.
Batch	Training data subset.
Hyperparameter	Configuration set before training.
Vector Database	Stores embeddings.
RAG	Retrieval-Augmented Generation.
Semantic Search	Meaning-based search.
AI Agent	Autonomous AI assistant.
Multimodal AI	Processes multiple data types.
Explainable AI	Interpretable AI systems.
AI Safety	Reducing AI risks.
Bias	Systematic unfairness in outputs.
Alignment	Matching AI with human goals.
TensorFlow	Machine learning framework.
PyTorch	Deep learning framework.
Keras	High-level neural network API.
LangChain	Framework for LLM applications.
LlamaIndex	Framework connecting LLMs to data.
Ollama	Run LLMs locally.
OpenAI API	API for AI models.
Function Calling	LLM invokes external tools.
Tool Calling	AI uses software tools.
Memory	Persistent conversational context.
Reasoning	Logical problem solving.
Agentic AI	Goal-driven autonomous AI.

Writer: articlecorner.com