Fine-tuning and Inference

ClusterAI provides a flexible and powerful environment for AI model fine-tuning and inference:

1. Model Access:

   • Browse a catalog of available pre-trained models

   • Import custom models adhering to ClusterAI standards

2. Fine-tuning Options:

   • Distributed fine-tuning across multiple nodes

   • Custom dataset uploading and preprocessing

   • Hyperparameter optimization tools

   • Transfer learning capabilities

3. Inference Flexibility:

   • RESTful API for easy integration with applications

   • Batch processing for large-scale inference tasks

   • Real-time inference for responsive applications

   • Custom inference paths for specialized use cases

4. Development Tools:

   • SDK support for popular languages (Python, JavaScript, Rust)

   • Integration with common ML frameworks (PyTorch, TensorFlow)

   • Jupyter notebook environments for experimentation

5. Advanced Features:

   • Access to model hidden states for in-depth analysis

   • Custom loss functions and training regimes

   • Ensemble methods leveraging multiple models

Whether you're a seasoned AI researcher or a developer looking to integrate AI into your application, ClusterAI provides the tools and flexibility to bring your ideas to life on a decentralized platform.