This is the Linux app named Ludwig AI whose latest release can be downloaded as v0.8.6sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Ludwig AI
DESCRIPTION
Declarative deep learning framework built for scale and efficiency. Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks. Declarative YAML configuration file is all you need to train a state-of-the-art LLM on your data. Support for multi-task and multi-modality learning. Comprehensive config validation detects invalid parameter combinations and prevents runtime failures. Automatic batch size selection, distributed training (DDP, DeepSpeed), parameter efficient fine-tuning (PEFT), 4-bit quantization (QLoRA), and larger-than-memory datasets. Retain full control of your models down to the activation functions. Support for hyperparameter optimization, explainability, and rich metric visualizations. Experiment with different model architectures, tasks, features, and modalities with just a few parameter changes in the config. Think building blocks for deep learning.
Features
- Optimized for scale and efficiency
- Build custom models with ease
- Expert level control
- Modular and extensible
- Engineered for production
- Large Language Model Fine-Tuning
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/ludwig-ai.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
