AIDO.ModelGenerator is a software stack powering the development of an AI-driven Digital Organism by enabling researchers to adapt pretrained models and generate finetuned models for downstream tasks.
To read more about AIDO.ModelGenerator's integral role in building the world's first AI-driven Digital Organism, see AIDO.
AIDO.ModelGenerator is open-sourced as an opinionated plug-and-play research framework for cross-disciplinary teams in ML & Bio.
It is designed to enable rapid and reproducible prototyping with four kinds of experiments in mind:
- Applying pre-trained foundation models to new data
- Developing new finetuning and inference tasks for foundation models
- Benchmarking foundation models and creating leaderboards
- Testing new architectures for finetuning performance
while also scaling with hardware and integrating with larger data pipelines or research workflows.
AIDO.ModelGenerator is built on PyTorch, HuggingFace, and Lightning, and works seamlessly with these ecosystems.
See the AIDO.ModelGenerator documentation for installation, usage, tutorials, and API reference.