AI Terminology

Search clear AI terminology definitions, acronyms, related concepts and the reviewed videos that explain them.

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  1. 2 videos2 general terms

    front-end code generation

    AI front-end code generation

    AI front-end code generation uses a model or coding agent to create editable interface code from requirements, content, and design constraints.

  2. 2 videos1 general term · 1 specialised term

    go-to-market automation

    AI GTM automationAI go-to-market automation

    AI go-to-market automation uses models and agents to scale repeatable sales, marketing, and revenue-operations research or execution within governed business workflows.

  3. 2 videos

    graphics processing unit kernel

    GPU kernel

    A graphics processing unit kernel is a function compiled to run many parallel operations on a graphics processor or related accelerator.

  4. 2 videos

    guardrail

    An AI guardrail is a technical or procedural control that constrains, checks or blocks unsafe AI behavior.

  5. 2 videos2 general terms

    image generation model

    AI image generation model

    An AI image generation model creates or transforms images from text, images or other conditioning information.

  6. 2 videos

    inference benchmark

    An AI inference benchmark measures model-serving performance under a defined workload, hardware configuration, and software stack.

  7. 2 videos

    infrastructure bottleneck

    AI infrastructure bottleneck

    An AI infrastructure bottleneck is a constrained component that limits how quickly or efficiently AI compute capacity can expand.

  8. 2 videos

    instruction following

    AI instruction following is a model's ability to understand and reliably comply with a user's valid requirements and constraints.

  9. 2 videos

    integrated development environment

    IDE

    An integrated development environment is a software workspace that combines code editing with development tools such as navigation, debugging, testing and extensions.

  10. 2 videos1 specialised term

    knowledge-work automation

    Knowledge-work automation uses software and AI to perform or assist repeatable tasks that depend on information gathering, analysis, judgment, and document production.

  11. 2 videos2 general terms · 1 specialised term

    language model

    LM

    A language model is a computational model that learns patterns in sequences of language so it can estimate or generate text and related representations.

  12. 2 videos1 general term

    large language model

    LLM

    A large language model is an AI model trained on extensive tokenized data to understand and generate language and related structured outputs.

  13. 2 videos

    large language model as a judge

    LLM as a judgeLLM judge

    A large language model as a judge is an evaluation method in which a language model scores, compares or critiques another system's output using stated criteria.

  14. 2 videos1 general term

    machine-speed cyberattack

    A machine-speed cyberattack uses automation to perform malicious activity faster or across more targets than a person could manage manually.

  15. 2 videos

    model affordability

    AI model affordability is the practical ability to access and use a model within available financial and technical resources.

  16. 2 videos

    model provider identity

    AI model provider identity is the verified legal and operational identity of the organization responsible for offering a model service.

  17. 2 videos2 general terms

    multi-agent code review

    Multi-agent code review uses several specialized AI reviewers whose findings are combined into one filtered review of a software change.

  18. 2 videos

    multi-graphics processing unit computing

    multi-GPU computingmulti-GPU processing

    Multi-graphics processing unit computing uses more than one graphics processing unit together to run a model or divide AI workloads.

  19. 2 videos2 general terms

    multi-robot task allocation

    MRTA

    Multi-robot task allocation assigns parts of a shared objective to robots according to their capabilities, locations and current workload.

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