EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hugging Face Blog·5d ago·5 min read
One Model Family, Two Gold-Level Results: Fine-Tuning Nemotron for IOI and IMO
TL;DR
Nemotron has been fine-tuned to achieve gold-level results in both the International Olympiad in Informatics (IOI) and the International Mathematical Olympiad (IMO) 2026, demonstrating its adaptability as a foundation model.
✦ Why It Matters
Explore the Nemotron models on Hugging Face to enhance your own AI applications today.
Key Takeaways
- Utilize Nemotron models for competitive programming tasks.
- Implement supervised fine-tuning for domain-specific applications.
- Combine SFT and RL for improved model performance.
- Adopt a generate-verify-refine approach in inference systems.
How It Works
The fine-tuning process for Nemotron involved four key steps: starting with a robust base model, curating domain-specific problems, applying SFT and RL, and using an inference loop that generates, evaluates, and refines answers. This structured approach allowed for effective specialization without the need for creating new foundation models for each challenge.