Ludwig
Ludwig is a low-code framework designed for building custom AI models, including large language models and deep neural networks. It simplifies model training through a declarative YAML configuration, ensuring easy multi-task and multi-modality learning. Optimized for scalability, it supports distributed training, parameter-efficient fine-tuning, and provides expert-level control over model architecture.
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Top Ludwig Features
- Declarative YAML configuration
- Low-code model building
- Automatic batch size selection
- Distributed training support
- Multi-task learning capabilities
- Multi-modality learning support
- Integrated pre-trained models
- Hyperparameter optimization tools
- Rich metric visualizations
- Comprehensive config validation
- Model architecture customization
- REST API deployment
- Efficient Torchscript exports
- Automatic trial and metric tracking
- No-code cloud deployment
- Fine-tuning with PEFT
- 4-bit quantization support
- Community-driven open-source project
- Easy integration with data formats
- Extensive benchmarking toolkit
