Fine-tune 30+ leading open-source AI models (Llama 3, Mistral, Qwen) to understand your specific domain. Get better accuracy, lower costs, and consistent outputs with OpenAI-compatible API. Flexible deployment options for any scale.
Transform generic AI models into specialized solutions
Fine-tune 30+ leading open-source AI models (Llama 3, Mistral, Qwen) to understand your specific domain. Get better accuracy, lower costs, and consistent outputs with OpenAI-compatible API. Flexible deployment options for any scale.
Hi Product Hunt! 👋 I'm Dylan Bristot from Nebius AI Studio. We're excited to share our fine-tuning capabilities with the Product Hunt community today. We built this service to solve a fundamental challenge: how do you make powerful AI models truly understand your specific domain without complex prompt engineering or massive context windows? Our solution gives developers and companies complete control over how models are customized and deployed. What makes our approach different: 1️⃣ We've optimi
Absolutely loved the new fine-tuning feature. Being a ML geek. one of the biggest challenges with trying to fine-tune a model locally is the compute. And this is why cloud based fine-tuning is very important. And Nebius AI provides a balance of providing support in Python or JavaScript for creating the fine-tuning script, and then select the dataset. I really like the nice UI to be able to see all of your fine-tuning jobs. The ease of use for fine-tuning is the best in comparison to any other pl
I just tried fine-tuning via Nebius web console, it's so easy to perform Full fine-tuning without setting up manual codebase. Congratulations on the launch🎉
Nebius AI Studio is a fine-tuning delight for my AI projects! 🧠 Loving the. precision Like if you're all about AI mastery! Cheers to seamless integration!
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.