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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

E2E modeling that combines Business perspective and subject matter expertise with Data science (Statistical Models +ML + Business context & objectives). This combination is vital to the health and competitive advantage for the BFSI. • Models created on KuantSol can be used for long periods of times and are stable, optimal, and standardized. • Submission-ready standardized model documentation for federal regulators • Executives can easily understand the end model thanks to purpose-built configuration options at each decision step. For example, the top ML/AI vendors offer a few model options as well as selection criteria. While consulting firms may offer more, it would take more time and expertise. KuantSol offers 150+ • KuantSol advanced configuration enables auto model development.

Description

Ludwig serves as a low-code platform specifically designed for the development of tailored AI models, including large language models (LLMs) and various deep neural networks. With Ludwig, creating custom models becomes a straightforward task; you only need a simple declarative YAML configuration file to train an advanced LLM using your own data. It offers comprehensive support for learning across multiple tasks and modalities. The framework includes thorough configuration validation to identify invalid parameter combinations and avert potential runtime errors. Engineered for scalability and performance, it features automatic batch size determination, distributed training capabilities (including DDP and DeepSpeed), parameter-efficient fine-tuning (PEFT), 4-bit quantization (QLoRA), and the ability to handle larger-than-memory datasets. Users enjoy expert-level control, allowing them to manage every aspect of their models, including activation functions. Additionally, Ludwig facilitates hyperparameter optimization, offers insights into explainability, and provides detailed metric visualizations. Its modular and extensible architecture enables users to experiment with various model designs, tasks, features, and modalities with minimal adjustments in the configuration, making it feel like a set of building blocks for deep learning innovations. Ultimately, Ludwig empowers developers to push the boundaries of AI model creation while maintaining ease of use.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Aim No 
Alpaca No 
Comet No 
Discord No 
Docker No 
Hugging Face No 
Kubernetes No 
Llama 2 No 
MLflow No 
Python No 
RAY No 
TensorBoard No 
Triton No 
Weights & Biases No 

Integrations

Aim Yes 
Alpaca Yes 
Comet Yes 
Discord Yes 
Docker Yes 
Hugging Face Yes 
Kubernetes Yes 
Llama 2 Yes 
MLflow Yes 
Python Yes 
RAY Yes 
TensorBoard Yes 
Triton Yes 
Weights & Biases Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

KuantSol

Founded

2021

Country

United States

Website

www.kuantsol.ai

Vendor Details

Company Name

Uber AI

Founded

2016

Country

United States

Website

ludwig.ai/latest/

Product Features

Financial Risk Management

Compliance Management Yes 
Credit Risk Management Yes 
For Hedge Funds No 
Liquidity Analysis No 
Loan Portfolio Management Yes 
Market Risk Management Yes 
Operational Risk Management Yes 
Portfolio Management No 
Portfolio Modeling Yes 
Risk Analytics Benchmarks Yes 
Stress Tests Yes 
Value At Risk Calculation Yes 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training Yes 
Natural Language Processing (NLP) No 
Predictive Modeling Yes 
Statistical / Mathematical Tools No 
Templates Yes 
Visualization Yes 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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