Finetunefast Howto
FinetuneFast is an AI-powered platform that provides boilerplate code and tools to help developers rapidly finetune, deploy and scale machine learning models.
View MoreHow to Use Finetunefast
Purchase a plan: Choose either the Starter or All In plan on the FinetuneFast website to gain access to the boilerplates and templates.
Access the boilerplate code: Once purchased, you'll get access to finetuning boilerplates, production-ready inference boilerplates, RAG examples, and templates.
Select a model: Choose from available models like AWS Bedrock, Mistral AI, OpenAI, and others included in the package.
Set up your environment: Use the provided boilerplate code to quickly set up your development environment for the chosen model.
Prepare your data: Organize and format your training data according to the best practices provided in the package.
Fine-tune the model: Use the finetuning boilerplates to train your model on your specific dataset.
Evaluate the model: Utilize the included evaluation tools to assess your model's performance.
Deploy the model: Use the production-ready inference boilerplates to deploy your fine-tuned model.
Scale and monitor: Leverage the provided infrastructure scaling and monitoring tools to manage your deployed model.
Seek support if needed: If you purchased the All In plan, access the Discord community for additional support and guidance.
Finetunefast FAQs
FinetuneFast is a boilerplate tool designed to help developers, indie makers, and businesses finetune and deploy AI models faster. It provides pre-configured scripts, templates, and infrastructure to streamline the process of training, evaluating, and deploying machine learning models.
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