Ludwig

Ludwig

Uber AI
Prevision

Prevision

Prevision.io
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About

Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks. Build custom models with ease: a 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. Optimized for scale and efficiency: automatic batch size selection, distributed training (DDP, DeepSpeed), parameter efficient fine-tuning (PEFT), 4-bit quantization (QLoRA), and larger-than-memory datasets. Expert level control: retain full control of your models down to the activation functions. Support for hyperparameter optimization, explainability, and rich metric visualizations. Modular and extensible: experiment with different model architectures, tasks, features, and modalities with just a few parameter changes in the config. Think building blocks for deep learning.

About

Building a model is an iterative process that can take weeks, months, or even years, and reproducing model results, maintaining version control, and auditing past work are complex. Model building is an iterative process. Ideally, you record not only each step but also how you arrived there. A model shouldn’t be a file hidden away somewhere, but instead a tangible object that all parties can track and analyze consistently. Prevision.io allows you to record each experiment as you train it along with its characteristics, automated analyses, and versions as your project progress, whether you created it using our AutoML or your own tools. Automatically experiment with dozens of feature engineering strategies and algorithm types to build highly performant models. In a single command, the engine automatically tries out different feature engineering strategies for every type of data (e.g. tabular, text, images) to maximize the information in your datasets.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers interested in a low-code framework to build custom AI models like LLMs and other deep neural networks

Audience

Developer teams and companies seeking a solution to track, record, and compare the iterations of ML experiments

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Company Information

Uber AI
Founded: 2016
United States
ludwig.ai/latest/

Company Information

Prevision.io
France
prevision.io

Alternatives

DeepSpeed

DeepSpeed

Microsoft

Alternatives

MLBox

MLBox

Axel ARONIO DE ROMBLAY

Categories

Machine Learning Supported

Categories

Machine Learning Supported

Machine Learning Features

Deep Learning Not Supported
ML Algorithm Library Not Supported
Model Training Not Supported
Natural Language Processing (NLP) Not Supported
Predictive Modeling Supported
Statistical / Mathematical Tools Supported
Templates Not Supported
Visualization Not Supported

Integrations

Aim Supported
Alpaca Supported
Comet Supported
Discord Supported
Docker Supported
Hugging Face Supported
Kubernetes Supported
Llama 2 Supported
MLflow Supported
Python Supported
RAY Supported
SkyStem ART Not Supported
TensorBoard Supported
Triton Supported
Weights & Biases Supported

Integrations

Aim Not Supported
Alpaca Not Supported
Comet Not Supported
Discord Not Supported
Docker Not Supported
Hugging Face Not Supported
Kubernetes Not Supported
Llama 2 Not Supported
MLflow Not Supported
Python Not Supported
RAY Not Supported
SkyStem ART Supported
TensorBoard Not Supported
Triton Not Supported
Weights & Biases Not Supported
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Claim Ludwig and update features and information
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