This repository contains both end-to-end worked examples of fine-tuning in AI Foundry and a collection of sample datasets. Use this repo to explore practical fine-tuning workflows and access ready-to-use data for your own projects.
This repository contains a collection of sample datasets that can be used to test and validate various customization techniques on the Azure AI Foundry. These are curated datasets created from various public HuggingFace datasets.
- These datasets are meant to be used as a reference to understand how to prepare training/validation data to run finetuning and other customization jobs on the Azure AI Foundry. Do not consider these samples as complete datasets for production use.
- These datasets can be used for experimental runs, and to check the end-to-end flows while running customization jobs on the Azure AI Foundry. Note, that any training jobs can incur costs on the subscription.
These demos showcase features or end-to-end experiences related to fine-tuning in AI Foundry.
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