ludwig

Ludwig is a declarative deep learning framework designed for training, fine-tuning, and deploying AI models across various applications, including large language models (LLMs), multimodal models, and tabular data processing. Its notable features include a YAML configuration syntax for streamlined model definitions, advanced PEFT adapters for fine-tuning, and capabilities for distributed deployment, allowing for efficient model training with minimal boilerplate code.