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Description
The Grace Enterprise AI Platform stands out as a comprehensive solution that fully addresses Governance, Risk & Compliance (GRC) considerations for AI. By providing a streamlined, secure, and effective implementation of AI technologies, Grace ensures that organizations can standardize their processes and workflows across all AI initiatives. It encompasses a complete suite of features necessary for organizations to achieve AI proficiency while safeguarding against regulatory challenges that could hinder AI deployment. The platform effectively reduces barriers to AI access for users in various roles, such as technical staff, IT professionals, project managers, and compliance officers, while still catering to the needs of seasoned data scientists and engineers with optimized workflows. Additionally, Grace guarantees that all activities are meticulously documented, justified, and enforced, covering every aspect of data science model development, including the data utilized for training, potential model biases, and beyond. This holistic approach reinforces the platform's commitment to fostering a culture of accountability and regulatory adherence in AI operations.
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
API Access
Has API
Integrations
Aim
Alpaca
Amazon Web Services (AWS)
Comet
Discord
Docker
Google Cloud Platform
Hugging Face
Kubernetes
Llama 2
Integrations
Aim
Alpaca
Amazon Web Services (AWS)
Comet
Discord
Docker
Google Cloud Platform
Hugging Face
Kubernetes
Llama 2
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
2021.AI
Founded
2016
Country
Denmark
Website
2021.ai/offerings/grace-enterprise-ai-platform/
Vendor Details
Company Name
Uber AI
Founded
2016
Country
United States
Website
ludwig.ai/latest/
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization