Thinking Machines Lab Releases Inkling, an Open-Weight AI Model
Mira Murati's startup released Inkling, a 975-billion-parameter open-weight model built for developers to fine-tune and adapt, rather than to top leaderboards.
Read more →Fine-Tuning
Fine-tuning adapts a pre-trained AI model to a specific domain or task without building one from scratch. Businesses use it to make general models perform better on their own data, style, or use case. This hub explains what fine-tuning is, when it makes sense, and how it differs from other ways of customizing AI.
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What Is AI Fine-Tuning — and When Should a Business Use It?
Fine-tuning adapts a pre-trained AI model to a specific domain or task without building one from scratch. Here is what it means, how it works, and whether it makes sense for your organization.
Read more →What Is an Open-Weight AI Model — and How Does It Differ from Closed AI?
Open-weight AI models release their trained parameters publicly so anyone can download, run, or fine-tune them — unlike closed models such as GPT-4 or Gemini, which are accessible only through paid APIs. Here is what that difference means in practice.
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