A
AI Agent
A software system that can pursue a goal, use tools and take multiple steps with safeguards.
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A
Algorithm
A defined sequence of steps used to solve a problem or perform a task.
Read explanation →A
API
A structured way for software systems to exchange requests and data.
Read explanation →C
Cloud Computing
On-demand access to computing resources delivered over networks.
Read explanation →C
Context Window
The amount of information an AI model can consider during one interaction.
Read explanation →D
DNS
The system that translates human-readable domain names into network addresses.
Read explanation →E
Embedding
A numerical representation that helps software compare meaning and similarity.
Read explanation →G
GPU
A processor designed for highly parallel computation and widely used in AI.
Read explanation →I
Inference
The stage where a trained model uses new input to generate a prediction or response.
Read explanation →L
Large Language Model
A model trained on large collections of text to predict and generate language.
Read explanation →M
Machine Learning
Methods that allow computers to learn patterns from examples.
Read explanation →R
RAG
Retrieval-Augmented Generation: retrieving trusted information before an AI generates an answer.
Read explanation →T
Token
A piece of text processed by a language model, which may be a word, part of a word or punctuation.
Read explanation →T
Transformer
A neural-network architecture that uses attention to process relationships in sequences.
Read explanation →V
Vector Database
A database designed to store and search numerical representations such as embeddings.
Read explanation →Z
Zero Trust
A security approach that verifies every access request rather than trusting by location alone.
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