NeuraTech
Knowledge
The most important artificial intelligence terms – explained clearly for business decision-makers.
An AI system that autonomously identifies, plans, and executes tasks – without waiting for every command.
An agent that acts and makes decisions independently without explicit user prompts.
The automation of work processes through AI Agents that independently handle cognitive tasks.
The coordination of multiple AI Agents working together on complex tasks.
An AI Agent's ability to independently use external tools, APIs, and systems.
A control mechanism where humans remain involved in critical decisions.
The underlying AI model that understands, analyzes, and generates language.
The systematic design of instructions to achieve optimal results from language models.
A technique that gives AI Agents access to current, company-specific information.
Numerical representations of text that capture semantic meaning.
A specialized database for efficient storage and search of embeddings.
Anchoring agent responses in verifiable facts and sources.
The maximum amount of text a language model can process at once.
A standardized protocol for securely connecting AI Agents to tools and data sources.
The process where a trained AI model generates predictions or responses.
An AI Agent's response time – from request to complete answer.
The cost per processed text token – the most important cost driver for AI Agents.
The ability to understand and monitor AI Agent behavior in real-time.
Systematic tests to measure the quality and reliability of AI Agents.
Adapting a pre-trained model to specific tasks or company data.
When an AI Agent generates plausible-sounding but factually incorrect information.
Safety mechanisms that restrict AI Agent behavior to permitted actions.
Aligning an AI Agent with the company's goals and values.