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features
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support

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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

NLWeb is a collaborative initiative by Microsoft designed to facilitate the creation of an intuitive, natural language interface for websites, utilizing any chosen model alongside proprietary data. The primary objective of NLWeb, which stands for Natural Language Web, is to provide the quickest and simplest means of transforming a website into an AI application, enabling users to interact with the site's content through natural language queries, akin to engaging with an AI assistant or Copilot. Each instance of NLWeb functions as a Model Context Protocol (MCP) server, giving websites the option to make their information discoverable and accessible to various agents and participants within the MCP framework. By leveraging semi-structured data formats such as Schema.org and RSS, which many websites already employ, NLWeb integrates these with LLM-powered tools to facilitate natural language interfaces that cater to both humans and AI agents, ultimately enhancing user interaction and engagement. This innovative approach not only streamlines the integration process but also broadens the accessibility of web content for a diverse audience.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure CLU
BotCore
Dydu
Eventbrite
Geomant
Geomant Wallboard
Ideta
Inception Labs
Microsoft Copilot
Microsoft Entra ID
Milvus
Neo Enterprise Assistant Platform
Qdrant
QnA Maker
Quickwork
RSS
Schema
Shopify
Take Blip
Tripadvisor

Integrations

Azure CLU
BotCore
Dydu
Eventbrite
Geomant
Geomant Wallboard
Ideta
Inception Labs
Microsoft Copilot
Microsoft Entra ID
Milvus
Neo Enterprise Assistant Platform
Qdrant
QnA Maker
Quickwork
RSS
Schema
Shopify
Take Blip
Tripadvisor

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

news.microsoft.com/source/features/company-news/introducing-nlweb-bringing-conversational-interfaces-directly-to-the-web/

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

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

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