Question 1

What is Agentic AI?

Accepted Answer

AI systems that can autonomously plan, reason, and take actions to achieve goals, rather than simply responding to individual prompts.

Question 2

What is Large Language Model (LLM)?

Accepted Answer

A neural network trained on massive text datasets that can understand and generate human language, serving as the reasoning engine behind agentic AI systems.

Question 3

What is Natural Language Processing (NLP)?

Accepted Answer

The branch of AI focused on enabling computers to understand, interpret, and generate human language in useful ways.

Question 4

What is Machine Learning?

Accepted Answer

A subset of AI where systems learn patterns from data and improve their performance over time without being explicitly programmed for each task.

Question 5

What is Deep Learning?

Accepted Answer

A subset of machine learning that uses multi-layered neural networks to learn complex representations from large datasets, powering modern AI capabilities.

Question 6

What is Neural Network?

Accepted Answer

A computational model inspired by biological neurons, consisting of interconnected layers that process information and learn patterns from training data.

Question 7

What is Transformer?

Accepted Answer

The neural network architecture behind modern LLMs, using self-attention mechanisms to process entire sequences of text in parallel rather than one word at a time.

Question 8

What is Token?

Accepted Answer

The basic unit of text that LLMs process — typically a word, subword, or character. LLM costs and context limits are measured in tokens.

Question 9

What is Prompt Engineering?

Accepted Answer

The practice of crafting effective instructions and context for LLMs to produce desired outputs, a critical skill for building reliable agentic AI systems.

Question 10

What is Fine-Tuning?

Accepted Answer

The process of further training a pre-trained LLM on domain-specific data to improve its performance on particular tasks or industries.

Question 11

What is Inference?

Accepted Answer

The process of running a trained AI model to generate predictions or outputs. In LLMs, inference is when the model generates text in response to a prompt.

Question 12

What is ReAct Pattern?

Accepted Answer

An agentic AI pattern where the model alternates between Reasoning about what to do and Acting by calling tools, creating a think-act-observe loop.

Question 13

What is Reflection Architecture?

Accepted Answer

An agentic pattern where the AI evaluates and critiques its own outputs, then iteratively improves them through self-feedback loops.

Question 14

What is Multi-Agent System?

Accepted Answer

An AI architecture where multiple specialized agents collaborate, debate, or coordinate to solve problems that exceed any single agent's capabilities.

Question 15

What is Planning Architecture?

Accepted Answer

An agentic AI pattern where the system creates an explicit step-by-step plan before execution, enabling complex multi-step task completion.

Question 16

What is Tool Use?

Accepted Answer

The ability of an AI agent to interact with external tools, APIs, databases, and services to access real-time information and take actions in the world.

Question 17

What is Retrieval-Augmented Generation (RAG)?

Accepted Answer

A pattern that enhances LLM responses by first retrieving relevant documents from a knowledge base, then using them as context for generation.

Question 18

What is Tree of Thoughts?

Accepted Answer

An advanced reasoning architecture where the AI explores multiple solution paths simultaneously, evaluating and pruning branches to find optimal solutions.

Question 19

What is Knowledge Graph?

Accepted Answer

A structured representation of entities and their relationships, enabling AI agents to reason over connected information and discover non-obvious patterns.

Question 20

What is State Machine?

Accepted Answer

A computational model where an AI agent transitions between defined states based on inputs and conditions, providing predictable and controllable behavior.

Question 21

What is Graph-Based Orchestration?

Accepted Answer

A framework for building agentic AI systems as directed graphs where nodes represent processing steps and edges define the flow of execution.

Question 22

What is Human-in-the-Loop?

Accepted Answer

A design pattern where AI agents pause at critical decision points to request human review and approval before proceeding with high-stakes actions.

Question 23

What is Guardrails?

Accepted Answer

Safety constraints and validation checks built into AI agent systems to prevent harmful, inaccurate, or out-of-scope outputs and actions.

Question 24

What is AI Safety?

Accepted Answer

The field of research and practice focused on ensuring AI systems behave as intended, avoid harmful outcomes, and remain under meaningful human control.

Question 25

What is Responsible AI?

Accepted Answer

The practice of developing and deploying AI systems in ways that are ethical, transparent, fair, and accountable to all stakeholders.

Question 26

What is Model Evaluation?

Accepted Answer

The systematic process of measuring AI model performance through benchmarks, metrics, and real-world testing to ensure quality and reliability.

Question 27

What is AI Governance?

Accepted Answer

The organizational framework of policies, processes, and oversight structures that guide how an enterprise develops, deploys, and monitors AI systems.

Question 28

What is ROI of AI?

Accepted Answer

The measurement of financial and operational returns generated by AI investments, comparing costs (infrastructure, development, maintenance) against business value delivered.

Question 29

What is AI Readiness?

Accepted Answer

An assessment of an organization's preparedness to adopt AI — including data infrastructure, talent, processes, and cultural factors.

Question 30

What is Vector Database?

Accepted Answer

A specialized database that stores and efficiently searches high-dimensional vector embeddings, enabling semantic similarity search for RAG and AI applications.

Question 31

What is Embedding?

Accepted Answer

A numerical vector representation of text, images, or other data that captures semantic meaning, enabling AI systems to measure similarity between concepts.

Question 32

What is Semantic Search?

Accepted Answer

A search approach that finds results based on meaning and intent rather than exact keyword matching, powered by embeddings and vector similarity.

Question 33

What is API Gateway?

Accepted Answer

A server that acts as a single entry point for API calls, handling authentication, rate limiting, routing, and monitoring for AI agent tool interactions.

Question 34

What is LLM Orchestration?

Accepted Answer

The infrastructure and frameworks that coordinate multiple LLM calls, tool invocations, and data flows within an agentic AI system.

AI Glossary

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