Remove tag >w
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Handle Long Pause Between Bot Responses Using Dialogflow

Chatbots Life

Now, Enable webhook (create webhook if not created) and add webhook with tag ‘response’. Now, Enable webhook and add webhook with tag ‘response_new’. Now, Enable webhook and add webhook with tag ‘get_response’. Click on the Routes to add a new route and create a new intent ‘intent_1’. Again add a new route in ‘page_1’.

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Handle Long Pause Between Bot Responses Using Dialogflow

Pragnakalp

Now, Enable webhook (create webhook if not created) and add webhook with tag ‘response’. Now, Enable webhook and add webhook with tag ‘response_new’. Now, Enable webhook and add webhook with tag ‘get_response’. Click on the Routes to add a new route and create a new intent ‘intent_1’. Again add a new route in ‘page_1’.

NLP 59
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Extend Session Timeout For Dialogflow CX

Pragnakalp

Now, Enable webhook (create webhook if not created) and add webhook with tag ‘response’. Now, Enable webhook and add webhook with tag ‘get_response’. To do the transition, add a new page ‘page_2’ and click Save after adding a new page. Navigate to page ‘page_2’ and in Condition , add parameter condition ‘$session.params.text = null’.

NLP 59
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Client-Side Form Validation using JavaScript

Towards AI

Define Regex for form components validation // Javascript reGex for Name validationvar rName = /^[A-Za-z]+$/;// Javascript reGex for EmpID validation.var rEmpID=/d{4}$/; //Javascript reGex for Email Validation.var rEmail=/^w+([.-]?w+)*@w+([.-]?w+)*(.w{2,3})+$/g; w+)*@w+([.-]?w+)*(.w{2,3})+$/g; w+)*@w+([.-]?w+)*(.w{2,3})+$/g;//email

AI 91
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Transcribe a phone call in real-time using Python with AssemblyAI and Twilio

AssemblyAI

In our case, we use <Say> tags that tell Twilio to speak the sentence between the tags to the caller.   If it is a POST request, then we return a block of TwiML , which is Twilio’s version of XML that instructs Twilio on what to do when this endpoint is called.

Python 147
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Build an image-to-text generative AI application using multimodality models on Amazon SageMaker

AWS Machine Learning Blog

Furthermore, we discuss the diverse applications of these models, focusing particularly on several real-world scenarios, such as zero-shot tag and attribution generation for ecommerce and automatic prompt generation from images. This is where the power of auto-tagging and attribute generation comes into its own.

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Demystifying NLP: A Beginner’s Guide to Natural Language Processing Basics and Techniques

Towards AI

."lemmatized_word = lemmatizer.lemmatize(word)print("Lemmatized word:", lemmatized_word) POS Tagging (Part-of-Speech Tagging) Assigning a part-of-speech (e.g., noun, verb, adjective) to each word in a sentence. it enables machines to comprehend, interpret, and generate human language.