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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

Screenshots View All

Screenshots View All

Integrations

AWS App Mesh
Aim
Alpaca
Anstrex
BOSCO
Bitcanopy
CardinalOps
Comet
DisruptOps
Docker
Hugging Face
Ikigai
Kubernetes
Llama 2
Python
Revelstoke
Stacklet
TensorBoard
Triton
Y42

Integrations

AWS App Mesh
Aim
Alpaca
Anstrex
BOSCO
Bitcanopy
CardinalOps
Comet
DisruptOps
Docker
Hugging Face
Ikigai
Kubernetes
Llama 2
Python
Revelstoke
Stacklet
TensorBoard
Triton
Y42

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

Alternatives

Alternatives

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DeepSpeed

Microsoft
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