[P] Fondant: sweet data-centric foundation model fine-tuning

Hi all 👋

Over the past few months, we have been building [Fondant](https://github.com/ml6team/fondant), an open-source framework to help you create high-quality datasets to fine-tune foundation models. Think of Stable Diffusion, GPT-like Large Language Models, Segment Anything, etc.

These foundation models simplify inference by solving multiple tasks across modalities with a simple prompt-based interface. But what they've gained in the front, they've lost in the back. These models require enormous amounts of data, moving complexity towards data preparation, and leaving few …

complexity data data-centric data preparation fine-tuning foundation foundation model inference machinelearning model fine-tuning moving multiple prompt