Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Integrations
Aim
No
Alpaca
No
Comet
No
Discord
No
Docker
No
Hugging Face
No
Kubernetes
No
Llama 2
No
MLflow
No
Python
No
Integrations
Aim
Yes
Alpaca
Yes
Comet
Yes
Discord
Yes
Docker
Yes
Hugging Face
Yes
Kubernetes
Yes
Llama 2
Yes
MLflow
Yes
Python
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