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Open Source AI

AI models and tools with publicly available code, weights, and training details.

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Definition

Open Source AI refers to AI models and systems where the code, model weights, and often training details are publicly available.

  • **Spectrum of Openness:**
  • Fully Open: Code, weights, data, training (rare)
  • Open Weights: Model weights available
  • Open Code: Training code available
  • Open API: Free API access only

Benefits: - Transparency and auditability - Community improvements - Local/private deployment - Lower costs - Customization freedom

Leading Open Models: - Llama 3 (Meta) - Mistral/Mixtral - Falcon (TII) - Gemma (Google) - Phi (Microsoft)

Debates: - Safety concerns with open weights - Compute barriers to true openness - Licensing restrictions - Definition of "open source" for AI

Examples

Running Llama 3 on your own servers for complete data privacy.

Related Terms

Llama

Meta's open-source large language model family, enabling community AI development.

Hugging Face

Platform and community hub for sharing machine learning models, datasets, and applications.

Mistral

French AI company creating efficient, high-quality open-source language models.

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