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Average Ratings 0 Ratings
Description
AWS Config is a service that allows for the assessment, auditing, and evaluation of the configurations of AWS resources. By continuously monitoring and documenting these configurations, Config facilitates the automation of evaluating recorded settings against desired benchmarks. Users can examine changes in configurations and the interrelationships between AWS resources, explore comprehensive histories of resource configurations, and assess compliance with their internal standards. This functionality streamlines processes related to compliance auditing, security evaluations, change management, and operational issue resolution. Furthermore, AWS Config serves as a key resource for conducting configuration audits and compliance checks for both AWS and external resources. Additionally, it allows for the integration and publication of configurations from third-party resources, including GitHub repositories, Microsoft Active Directory, or any on-premises servers, thereby enhancing the breadth of compliance oversight. Overall, the versatility and capabilities of AWS Config make it an essential tool for managing resource configurations effectively.
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
AWS App Mesh
Aim
Alpaca
Anstrex
BOSCO
Bitcanopy
CardinalOps
Comet
DisruptOps
Docker
Integrations
AWS App Mesh
Aim
Alpaca
Anstrex
BOSCO
Bitcanopy
CardinalOps
Comet
DisruptOps
Docker
Pricing Details
$0.001 per rule evaluation
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
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/config/
Vendor Details
Company Name
Uber AI
Founded
2016
Country
United States
Website
ludwig.ai/latest/
Product Features
Configuration Management
Access Control / Permissions
Application Deployment
Automated Provisioning
Infrastructure Automation
Node Management
Orchestration
Reporting Analytics / Visualization
Task Management
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization