AI Regulations in China
AI Regulations in the European Union (EU)
AI Regulations in the US
AI Regulations in India
Model safety
Synthetic & Generative AI
Model Performance
ML Monitoring
Explainable AI
Synthetic & Generative AI

Opensource vs. Closed Source Models

The choice between open-source and closed-source models has emerged as a key debate within generative AI

The choice between open-source and closed-source models has emerged as a key debate within generative AI.

With the open-source model, the model's source code is released openly to the general public, making it accessible and available for examination, modification, and redistribution. This approach often involves collaborative development by decentralized, voluntary communities, where individuals contribute to the codebase voluntarily. Additionally, open-source models can be managed by more formal organizations that oversee the development process, providing structure and governance to the collaborative effort.

Conversely, closed-source involves keeping a model's source code confidential and not disclosing it to the public. In this model, the source code is considered the intellectual property of the organization or individual that developed it, and it is not made publicly available for inspection or modification.

When deciding between the two, critical considerations related to transparency, customization, collaboration, intellectual property, security, and support arise. Additionally, factors such as the specific use case, organizational requirements, and project goals play a pivotal role. Open-source projects thrive on transparency, collaboration, and community-driven innovation, while closed-source models prioritize IP protection, source code control, and revenue generation through licensing or sales.

Liked the content? you'll love our emails!

Thank you! We will send you newest issues straight to your inbox!
Oops! Something went wrong while submitting the form.

See how AryaXAI improves
ML Observability

Learn how to bring transparency & suitability to your AI Solutions, Explore relevant use cases for your team, and Get pricing information for XAI products.