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Plain-language AI glossary

Term 60ModelsMeaning / context / connections

Models / Definition

Foundation Model

A large, general-purpose AI model trained on broad data that serves as a base for many downstream tasks through fine-tuning, prompting, or adaptation.

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MeaningThe one-sentence definition.

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ContextHow the idea works in practice.

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01 / Plain-language context

How Foundation Model works.

A foundation model is trained broadly enough to support many downstream tasks rather than one narrow prediction. Teams adapt that general capability through instructions, examples, retrieval, tools, fine-tuning, or additional application logic.

The model is only one layer of a dependable product. The surrounding system still needs data boundaries, evaluations, permissions, observability, recovery paths, and a clear human decision point. Start with prompting and retrieval when they fit the job, then add training only when a measured gap remains.

02 / Practical uses

Where it helps.

  1. 01Base for all AI applications
  2. 02Transfer learning to specialized domains
  3. 03Multi-task AI systems
  4. 04Research and prototyping
  5. 05Enterprise AI platforms
03 / Keep exploring
Large Language Model (LLM)A neural network trained on massive text datasets that can generate, understand, and reason about human language.Fine-TuningThe process of further training a pre-trained AI model on your specific data to improve performance on domain-specific tasks.Transfer LearningA machine learning technique where a model trained on one task is adapted to perform a different but related task, reducing the data and compute needed.Open-Source AIAI models whose weights and architecture are publicly available, allowing anyone to inspect, modify, run, and build upon them.