Over 21+ Terms

    The UltimateAI Glossary

    From AGI to Zero-Shot Learning, master the vocabulary of the future. Search our comprehensive dictionary of Artificial Intelligence, Machine Learning, and Data Science terms.

    AI Architecture

    Agentic AI

    Artificial intelligence systems that can act autonomously to achieve complex goals.

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    Concepts

    AGI (Artificial General Intelligence)

    Hypothetical AI that matches or surpasses human capabilities across all cognitive tasks.

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    Techniques

    Chain of Thought (CoT)

    A prompting technique that asks the AI to explain its step-by-step reasoning.

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    Concepts

    Context Window

    The maximum amount of text (tokens) an AI model can 'remember' or process in a single interaction.

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    Concepts

    Deep Learning

    A subfield of Machine Learning based on artificial neural networks with multiple layers.

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    Concepts

    Embeddings

    Mathematical representations of data (like words or images) in a high-dimensional space.

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    Techniques

    Few-Shot Learning

    A technique where the AI is provided with a few examples in the prompt to guide its behavior.

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    Techniques

    Fine-Tuning

    The process of taking a pre-trained AI model and training it further on a smaller, specialized dataset.

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    Concepts

    Generative AI

    AI systems capable of creating new, original content like text, images, or audio.

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    Issues

    Hallucination

    When an AI model confidently generates false, nonsensical, or unverified information.

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    Models

    Large Language Model (LLM)

    A type of foundational AI model trained on vast amounts of text to understand and generate human language.

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    Skills

    Loop Engineering

    Designing continuous systems where AI models autonomously use tools and evaluate results until a task is fully complete.

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    Concepts

    Machine Learning (ML)

    A subset of AI where systems learn from data to improve their performance without explicit programming.

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    AI Architecture

    Neural Network

    A computing system inspired by the biological neural networks that constitute human brains.

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    Skills

    Prompt Engineering

    The practice of designing and refining inputs (prompts) to get optimal results from AI models.

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    Techniques

    RAG (Retrieval-Augmented Generation)

    A technique that connects an LLM to external knowledge bases to improve accuracy and reduce hallucinations.

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    Techniques

    Semantic Search

    A search technique that looks for the meaning and context of a query rather than exact keyword matches.

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    Concepts

    Token

    The basic unit of data processed by an LLM, typically representing a word or part of a word.

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    AI Architecture

    Transformer Architecture

    The underlying neural network architecture introduced by Google that powers modern LLMs.

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    Infrastructure

    Vector Database

    A specialized database designed to store and search data represented as mathematical vectors (embeddings).

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    Techniques

    Zero-Shot Learning

    When an AI model completes a task without being given any specific examples in the prompt.

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