Ludwig

Ludwig

Uber AI
Phi-4-reasoning

Phi-4-reasoning

Microsoft
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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

Phi-4-reasoning is a 14-billion parameter transformer-based language model optimized for complex reasoning tasks, including math, coding, algorithmic problem solving, and planning. Trained via supervised fine-tuning of Phi-4 on carefully curated "teachable" prompts and reasoning demonstrations generated using o3-mini, it generates detailed reasoning chains that effectively leverage inference-time compute. Phi-4-reasoning incorporates outcome-based reinforcement learning to produce longer reasoning traces. It outperforms significantly larger open-weight models such as DeepSeek-R1-Distill-Llama-70B and approaches the performance levels of the full DeepSeek-R1 model across a wide range of reasoning tasks. Phi-4-reasoning is designed for environments with constrained computing or latency. Fine-tuned with synthetic data generated by DeepSeek-R1, it provides high-quality, step-by-step problem solving.

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

Educators and developers seeking an AI tool offering models for complex reasoning tasks

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.
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

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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

Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/blog/one-year-of-phi-small-language-models-making-big-leaps-in-ai/

Alternatives

DeepSpeed

DeepSpeed

Microsoft

Alternatives

Open R1

Open R1

Open R1
MLBox

MLBox

Axel ARONIO DE ROMBLAY
DeepSeek R1

DeepSeek R1

DeepSeek
DeepCoder

DeepCoder

Agentica Project

Categories

Categories

Integrations

Hugging Face
Aim
Alpaca
Comet
Discord
Docker
Kubernetes
Llama 2
MLflow
Microsoft Azure
Microsoft Foundry
Microsoft Foundry Models
Python
RAY
TensorBoard
Triton
Weights & Biases

Integrations

Hugging Face
Aim
Alpaca
Comet
Discord
Docker
Kubernetes
Llama 2
MLflow
Microsoft Azure
Microsoft Foundry
Microsoft Foundry Models
Python
RAY
TensorBoard
Triton
Weights & Biases
Claim Ludwig and update features and information
Claim Ludwig and update features and information
Claim Phi-4-reasoning and update features and information
Claim Phi-4-reasoning and update features and information