Library / SDK
Fine-tuning & Training
Ludwig
1Declarative 2YAML 3framework 4for 5training 6models
the six Ws · specification
W1
Who
The Ludwig AI project, hosted by LF AI & Data, develops Ludwig as a low-code deep learning framework.
W2
What
Ludwig lets users define, train, fine-tune, and deploy models, including LLMs, through a declarative YAML configuration file.
W3
Where
Hosted on GitHub under the ludwig-ai organization.
W4
When
First released by Uber in 2019, later donated to the Linux Foundation AI & Data.
W5
Why
Built to remove Python boilerplate so practitioners can train custom models by configuration alone.
W6
With
Installs via pip, built on PyTorch, Ray, and Transformers for distributed fine-tuning.
W7
Watch
Open source under Apache 2.0, self-hosted, no credentials required; maintained under LF AI & Data governance.
alternatives
works with