Glossary Updates12 new terms added to the glossaries · October 2, 2026, 22:44 CEST
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Glossary · 2 · The AI landscape: brands and model families

Google DeepMind (Gemini)

Also known as: Gemini, Google Gemini, Gemma, NotebookLM

Google DeepMind is Google’s AI research lab and the developer of Gemini, a family of natively multimodal models used in the Gemini app, Google Search, Workspace and Android, and offered to developers through Google AI Studio and Vertex AI. Google also publishes the open-weight Gemma models; its researchers introduced the transformer architecture in 2017.

  • Beginner
  • Technical writers
  • Technical marketers
  • Technical project managers
  • Developers
  • AI brand

In one sentence

Google DeepMind and Gemini in brief: multimodal models across Search, Workspace and Android, open Gemma models, and developer access via Vertex AI.

Example

A project manager uploads meeting notes and a requirements spreadsheet to NotebookLM and asks for a list of open decisions with sources.

Why it matters on your learning path

  • Technical writers: Gemini in Google Docs and NotebookLM help summarize and cross-check source material with citations.
  • Technical marketers: AI answers in Google Search change how users find content — see generative engine optimization.
  • Technical project managers: Gemini is bundled into Google Workspace plans, which often decides what a team uses first.
  • Developers: Vertex AI offers Gemini alongside third-party models; Gemma runs locally.

Keep in mind

Product names, model versions and prices change often. This entry describes the brand’s position as of its review date; check the vendor’s own pages before you cite a model name or capability.

By knowledge.aitechdoc.world · Published September 26, 2026 · Last reviewed

Source: Vendor information, reviewed by AI TechDoc Blog

Definitions follow the cited standards and specifications. Where a source is a copyrighted publication, such as an ISO, IEC or EN standard, the definition is a close paraphrase, not a verbatim quotation, so as not to infringe copyright. We recommend reading the original publication. The sections “How it applies” are editorial commentary by AI TechDoc Blog and are not part of any standard.

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