Search results
Language Understanding (LUIS) A machine learning-based service to build natural language into apps, bots, and IoT devices. Quickly create enterprise-ready, custom models that continuously improve.
Language Understanding (LUIS) is a cloud-based conversational AI service that applies custom machine-learning intelligence to a user's conversational, natural language text to predict overall meaning, and pull out relevant, detailed information. LUIS provides access through its custom portal, APIs and SDK client libraries.
Jan 3, 2018 · Learn about utterances and entities in LUIS (Language Understanding Intelligent Service), see how to publish a LUIS model, and learn the algorithms behind LUIS.
The Language Understanding (LUIS) service allows your application to understand what a person wants in their own words. LUIS uses machine learning to allow developers to build applications that can receive user input in natural language and extract meaning from it.
Conversational language understanding is the next generation of Language Understanding (LUIS). It comes with state-of-the-art language models that understand the utterance's meaning and capture word variations, synonyms, and misspellings while being multilingual.
Feb 22, 2018 · LUIS technologies capitalize on the continuous innovation of Microsoft in Artificial Intelligence and its applications to natural language understanding with research, science, and engineering efforts dating back at least 20 years or more. In this blog, we dive deeper into the LUIS capabilities to enable intelligent conversational systems.
Jan 19, 2024 · This quickstart shows how to create a LUIS app that uses the prebuilt domain `HomeAutomation` for turning lights and appliances on and off. This prebuilt domain provides intents, entities, and example utterances for you. When you're finished, you'll have a LUIS endpoint running in the cloud.
Apr 16, 2021 · LUIS, or language understanding intelligent service, is a cloud-based service that applies custom machine learning to a user's conversational, natural language text to predict overall meaning, and pull out relevant detailed information. As usual, it's exposed over simple REST APIs.
Teach your apps to understand commands from your users. Language Understanding (LUIS) offers a fast and effective way of adding language understanding to applications. With LUIS, you can use pre-existing, world-class, pre-built models whenever they suit your purposes.
Language Studio provides you with an easy-to-use experience to build and create custom ML models for text processing using your own data such as classification, entity extraction, conversational and question answering models. It also provides you with a platform to tryout several prebuilt NLP features and see what they return in a visual manner.
