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ease
features
design
support

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Description

Develop applications utilizing conversational language understanding, an advanced AI capability that interprets user intentions and extracts crucial details from informal dialogue. Design customizable intent classification and entity extraction models tailored to your specific terminology across 96 different languages, allowing for multilingual functionality without the need for retraining after initial training in one language. Swiftly generate intents and entities while tagging your own utterances, and incorporate prebuilt components from an extensive range of standard types. Assess your models using integrated quantitative metrics such as precision and recall to ensure optimal performance. A user-friendly dashboard simplifies the management of model deployments within the accessible language studio. Effortlessly integrate with various other features in Azure AI Language, alongside Azure Bot Service, to create a comprehensive conversational experience. This conversational language understanding represents the evolution of Language Understanding (LUIS) and enhances the way users interact with technology. As the demand for intuitive communication increases, leveraging this technology can significantly improve user engagement and satisfaction.

Description

Articulate your area of expertise and processes using a language that fully embodies the concepts and reasoning inherent to your specific discipline. Engage with vocabulary that is universally recognized among your peers in the field. Incorporate non-textual elements such as mathematical symbols, diagrams, and forms through projectional editing. Our advanced editor is designed to assist you at every stage of the process, offering quick fixes, word suggestions, and intent recognition. MPS serves as a comprehensive integrated development environment (IDE) equipped with everything necessary to effectively leverage Domain-Specific Languages (DSLs). Key features provided include code completion, navigation assistance, refactoring capabilities, error detection, instant corrections, debugging support for DSLs, language version management with seamless migrations, and compatibility with popular version control systems. The MPS generator effectively bridges the gap between business concepts and technical implementation. Utilizing a generative methodology, MPS allows for the creation of generators tailored to your language, enabling the transformation of user input into a more standardized programming language format. This innovative approach empowers users to focus on high-level design while allowing the system to handle the intricacies of translation.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Q Developer
Augment Code
Azure AI Services
C
CSV Editor
Codebuddy
Cody
EasyCode
Firebender
JavaScript
LUIS
Latta
Lingma
Microsoft Azure
Microsoft Bot Framework
Mistral Code
Qodo
Supermaven
XML
Zencoder

Integrations

Amazon Q Developer
Augment Code
Azure AI Services
C
CSV Editor
Codebuddy
Cody
EasyCode
Firebender
JavaScript
LUIS
Latta
Lingma
Microsoft Azure
Microsoft Bot Framework
Mistral Code
Qodo
Supermaven
XML
Zencoder

Pricing Details

$2 per month
Free Trial
Free Version

Pricing Details

Free
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

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/ai-services/conversational-language-understanding/

Vendor Details

Company Name

JetBrains

Country

Czech Republic

Website

www.jetbrains.com/mps/

Product Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Product Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Alternatives

LUIS Reviews

LUIS

Microsoft

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