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What is Open Source AI?

They are artificial intelligence models whose codes, model weights and working logic are open to anyone to examine, change and improve.

Overview

Unlike closed-source models, open-source AI models are transparent. Anyone who wants can download these models to their computer and train them with their own data or make changes to them. This approach ensures that the technology is democratized and developed rapidly by the community.

Analogy: Instead of hiding the secret recipe of a dish, it's like sharing the recipe online so everyone can experiment and improve it.

How it works

Developers share their models on platforms like Hugging Face. Users have full control by running these models on their own servers (self-hosting).

Where it is used

It is used in research projects, personal artificial intelligence applications, and corporate projects where transparency is important.

Commonly confused with

Can be mixed with Open Weights; However, Open Source AI often includes transparency of the training data and process as well.

Frequently asked questions

Are open source models weaker?

It used to be like that, but today many open source models have reached a level where they can compete with the closed models of giant companies.

Why should I use open source?

Because it offers data privacy, cost savings and full integration into your own system.

Related terms

This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →