ludwig-ai/ludwig

Ludwig is a powerful low-code framework that empowers developers and data scientists to build and deploy custom AI models, including large language models (LLMs) and deep neural networks, with unprecedented ease. By leveraging a declarative YAML configuration, users can define complex model architectures and training pipelines without extensive coding. It emphasizes scalability and efficiency through features like distributed training and parameter-efficient fine-tuning, while also offering granular control for expert users. Designed for production environments, Ludwig integrates seamlessly with MLOps tools like Docker, Ray, and Kubernetes, making it an ideal solution for rapid AI development and deployment.