Example Projects for Fine-Tuning Models
These example projects demonstrate how to fine-tune various large language models (LLMs) and image generation models using NVIDIA AI Workbench. The following projects highlight:
- Fine-tuning of popular open-source models including Llama 2, Llama 3, Mistral, Mixtral, and Phi-3.
- Parameter-efficient fine-tuning techniques with NeMo Framework.
- Customization of image generation models like SDXL.
- Best practices for model adaptation and optimization.
These examples are ideal for AI developers and researchers looking to:
- Adapt pre-trained models to specific use cases.
- Implement efficient fine-tuning strategies.
- Optimize model performance for specific tasks.
- Leverage NVIDIA’s tools and frameworks for model customization.