FinetuneFast

What is FinetuneFast?

FinetuneFast is an ML model boilerplate designed to help users quickly finetune and deploy AI models into production. It aims to reduce the time and complexity associated with setting up model training, preparing data, handling API integration, evaluating models, deploying models, and scaling infrastructure. FinetuneFast supports various models, including text-to-image models and LLMs, and offers pre-configured training scripts, efficient data loading pipelines, and one-click model deployment.

How to use FinetuneFast?

FinetuneFast provides boilerplate code, documentation, and examples to help users launch AI models quickly. Users can access finetuning boilerplates, production-ready inference boilerplates, RAG examples, and templates. The platform offers pre-configured training scripts, data loading pipelines, and deployment tools to streamline the process.

FinetuneFast’s Core Features

Finetuning Boilerplates Production-ready Inference Boilerplates RAG Examples and Templates One-click Model Deployment Auto-scaling Infrastructure API Endpoint Generation Monitoring and Logging Setup Pre-configured Training Scripts Efficient Data Loading Pipelines Hyperparameter Optimization Tools Multi-GPU Support

FinetuneFast’s Use Cases

• Finetuning text-to-image models
• Finetuning LLMs
• Building and deploying RAG applications
• Creating AI-SaaS products