Ludwig

Ludwig

Uber AI
+
+

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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

Declarative machine learning systems provide the best of flexibility and simplicity to enable the fastest-way to operationalize state-of-the-art models. Users focus on specifying the “what”, and the system figures out the “how”. Start with smart defaults, but iterate on parameters as much as you’d like down to the level of code. Our team pioneered declarative machine learning systems in industry, with Ludwig at Uber and Overton at Apple. Choose from our menu of prebuilt data connectors that support your databases, data warehouses, lakehouses, and object storage. Train state-of-the-art deep learning models without the pain of managing infrastructure. Automated Machine Learning that strikes the balance of flexibility and control, all in a declarative fashion. With a declarative approach, finally train and deploy models as quickly as you want.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Declarative Machine Learning platform for organizations

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Pay-as-you-go pricing
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Predibase
United States
predibase.com

Alternatives

DeepSpeed

DeepSpeed

Microsoft

Alternatives

MLBox

MLBox

Axel ARONIO DE ROMBLAY
Neural Designer

Neural Designer

Artelnics

Categories

Categories

Integrations

Python
Aim
Alpaca
Amazon Redshift
Apache Hive
Comet
Docker
Hugging Face
Kubernetes
LiteLLM
Llama 2
MLflow
MySQL
Opik
PostgreSQL
RAY
Snowflake
TensorBoard
Triton
Weights & Biases

Integrations

Python
Aim
Alpaca
Amazon Redshift
Apache Hive
Comet
Docker
Hugging Face
Kubernetes
LiteLLM
Llama 2
MLflow
MySQL
Opik
PostgreSQL
RAY
Snowflake
TensorBoard
Triton
Weights & Biases
Claim Ludwig and update features and information
Claim Ludwig and update features and information
Claim Predibase and update features and information
Claim Predibase and update features and information