Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Language Understanding (LUIS) is an advanced machine learning service designed to incorporate natural language capabilities into applications, bots, and IoT devices. It allows for the rapid creation of tailored models that enhance over time, enabling the integration of natural language features into your applications. LUIS excels at discerning important information within dialogues by recognizing user intentions (intents) and extracting significant details from phrases (entities), all contributing to a sophisticated language understanding model. It works harmoniously with the Azure Bot Service, simplifying the process of developing a highly functional bot. With robust developer resources and customizable pre-existing applications alongside entity dictionaries such as Calendar, Music, and Devices, users can swiftly construct and implement solutions. These dictionaries are enriched by extensive web knowledge, offering billions of entries that aid in accurately identifying key insights from user interactions. Continuous improvement is achieved through active learning, which ensures that the quality of models keeps getting better over time, making LUIS an invaluable tool for modern application development. Ultimately, this service empowers developers to create rich, responsive experiences that enhance user engagement.

Description

Transforming data into a functional bot takes just minutes. You can effortlessly create, train, and launch an advanced bot by utilizing resources such as FAQ pages, support sites, product manuals, SharePoint documents, or editorial content, all through a user-friendly interface or REST APIs, and there's no need for any coding skills. Whether you want to deploy your bot within teams or on different platforms, you can do so without writing a single line of code. Moreover, you can infuse your bot with personality by incorporating pre-existing chit-chat datasets. The system allows for the extraction of question-answer pairs from various semi-structured content like FAQ pages, support websites, Excel files, SharePoint documents, product manuals, and policies. It's also straightforward to design intricate multi-turn conversations using the QnA Maker portal or REST APIs. You can enhance your ranking model based on insights drawn from your bot's usage and user feedback, ensuring continual improvement. With the QnA Maker service being a hosted model, you have the flexibility to select product tiers that align with your organization’s size and throughput requirements, all while maintaining security within your Azure compliance framework. This comprehensive approach ensures that anyone, regardless of technical background, can harness the power of automated conversational agents.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure AI Content Safety
Azure AI Services
Azure CLU
Azure Marketplace
BotCore
Dydu
Geomant
Geomant Wallboard
Ideta
LUIS
Microsoft Azure
Microsoft Entra ID
Microsoft SharePoint
Neo Enterprise Assistant Platform
QnA Maker
Quickwork
Take Blip
maaiiconnect

Integrations

Azure AI Content Safety
Azure AI Services
Azure CLU
Azure Marketplace
BotCore
Dydu
Geomant
Geomant Wallboard
Ideta
LUIS
Microsoft Azure
Microsoft Entra ID
Microsoft SharePoint
Neo Enterprise Assistant Platform
QnA Maker
Quickwork
Take Blip
maaiiconnect

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

Microsoft

Founded

1975

Country

United States

Website

www.luis.ai/

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

www.qnamaker.ai/

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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

Chatbot

Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration

Conversational AI

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

Alternatives

Dialogflow Reviews

Dialogflow

Google

Alternatives

Amazon Lex Reviews

Amazon Lex

Amazon
InstructGPT Reviews

InstructGPT

OpenAI
LUIS Reviews

LUIS

Microsoft