Ludwig is a Python-based deep learning framework that enables users to build, train, and deploy AI models using declarative YAML configuration files instead of writing boilerplate code. It supports LLM fine-tuning with adapters like LoRA, multimodal models, and tabular data classification. The framework is built on PyTorch, Hugging Face Transformers, and Ray for distributed training, and is hosted under the Linux Foundation AI & Data initiative.