Open-source versus proprietary access to the model | AIGP
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Open-source versus proprietary access to the model: Which model-type distinction is being weighed?

AIGP Understanding How to Govern AI Deployment and Use Easy

Freely downloadable, modifiable weights versus a closed paid API with hidden internals is the open-source versus proprietary distinction.

The question

A deployer is comparing two candidate models: one whose weights are freely downloadable and modifiable, and one accessible only through a paid vendor API with hidden internals. Which model-type distinction is being weighed?

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  1. Small language model versus a large language model
    A real model-type axis, but the scenario contrasts openness and access rather than parameter scale.
  2. Open-source versus proprietary access to the model ✓
    Downloadable modifiable weights describe an open-source model, while a closed paid API with hidden internals is proprietary.
  3. Language-only model versus a multimodal model
    A valid distinction, yet nothing in the scenario concerns input modality such as images or audio.
  4. Classic discriminative model versus a generative model
    A genuine taxonomy, but the contrast here is licensing and openness, not classification versus generation.
The trap
Reading a comparison about access and licensing as though it were about model size or capability.

How to remember it

Freely downloadable, modifiable weights versus a closed paid API with hidden internals is the open-source versus proprietary distinction.

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