Official documentation
Machine Learning Glossary
Google Developers, Google Developers, 2026
Read the originalRead on October 17, 2026
- What it is
- Google's online glossary of machine learning terms, with a short definition for each term. The entries used here cover machine learning, generative AI, large language model and prompt.
- How much weight it carries
- A vendor reference rather than a peer-reviewed standard, so it is best read as a plain-language definition. Entries are short and can be reworded when the page is updated; the quotes here were checked on 2026-10-17.
Facts taken from this source
- Google's Machine Learning Glossary describes generative AI as an emerging field with no formal definition.
“An emerging transformative field with no formal definition.” (Glossary entry: generative AI)
- Google's Machine Learning Glossary says that, at a minimum, a large language model is a language model having a very high number of parameters.
“a language model having a very high number of parameters” (Glossary entry: large language model (LLM))
- Google's Machine Learning Glossary defines machine learning as a program or system that trains a model from input data, and the trained model can then make predictions from new data.
“A program or system that trains a model from input data.” (Glossary entry: machine learning)
- Google's Machine Learning Glossary defines a prompt as any text entered as input to a large language model to condition the model to behave in a certain way.
“Any text entered as input to a large language model to condition the model to behave in a certain way.” (Glossary entry: prompt)