Search Results for "plugin framework"

...Unlike the original fairseq—which evolved into a large, monolithic codebase—fairseq2 introduces a clean, plugin-oriented architecture designed for long-term maintainability and rapid experimentation. It supports multi-GPU and multi-node distributed training using DDP, FSDP, and tensor parallelism, capable of scaling up to 70B+ parameter models. The framework integrates seamlessly with PyTorch 2.x features such as torch.compile, Fully Sharded Data Parallel (FSDP), and modern configuration management.

...Rather than relying on ad-hoc or manual review processes, FARA enables organizations to profile AI behavior using standardized tests, metrics, and reporting templates, making evaluations reproducible and comparable over time. The framework supports plugin-based modules that can be tailored to industry-specific concerns or regulatory requirements, helping compliance teams, auditors, and engineers collaborate on shared assessment goals.