You have an Azure AI service model named Model1 that identifies the intent of text input.
You develop a Python app named App1.
You need to configure App1 to use Model1.
Which package should you add to App1?
You have an Azure AI service model named Model1 that identifies the intent of text input.
You develop a Python app named App1.
You need to configure App1 to use Model1.
Which package should you add to App1?
To configure a Python app to use an Azure AI service model for identifying the intent of text input, the appropriate package is azure-ai-language-conversations. This package is specifically designed for tasks involving natural language understanding in conversational contexts, which includes extracting intents from text input. It offers more specialized functionality for intent recognition compared to other options.
The correct package for working with Azure AI service for text intent identification, like Model1, is: A. azure-cognitiveservices-language-textanalytics Therefore, you should add the azure-cognitiveservices-language-textanalytics package to App1 for configuring it to use Model1. This package provides functionalities for working with the Language API in Azure Cognitive Services, which includes text analytics capabilities, such as identifying language and sentiment, and can be used for processing text input to determine intent.
answer is B. "Conversation App: It's used in extracting intents and entities in conversations" - https://learn.microsoft.com/ko-kr/python/api/overview/azure/ai-language-conversations-readme?view=azure-python "The (Text Analytics) API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection." https://learn.microsoft.com/en-us/python/api/azure-cognitiveservices-language-textanalytics/azure.cognitiveservices.language.textanalytics.textanalyticsclient?view=azure-python-previous
Agree 100%
Should be B. Source: https://pypi.org/project/azure-ai-language-conversations/ "Conversation App: It's used in extracting intents and entities in conversations"
Answer is B. Both the text analytics package and the conversations package satisfy the requirement for identifying intent of speech, however Text analytics is more for generic use, not specialised intent recognition. Conversations package is more developed for specialized intent recognition, the package is tailored for tasks involving natural language understanding in conversational contexts, making it more effective and efficient for intent recognition in an app designed to understand and respond to user inputs
I say this answer is B.
B. azure-ai-language-conversations This package is part of the Azure AI SDK for Python and contains functionality for building applications that can understand user intent using language models.
Must be B
B is correct
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When identifying text input intent, it is usually aggregated to cognitiveservices. not just Microsoft, but mega cloud products and solutions have too many similar names and should be aggregated.
B is right answer.
B is answer.
azure-cognitiveservices-speech.
Selected Answer: B