In this episode, we dive into Conversational Language Understanding (CLU) — the powerful technology that allows apps to interpret natural language and respond intelligently. Learn how utterances, entities, and intents work together to reveal the user's true goals, and how Azure AI Language makes it easy to build, train, and deploy these models.

Whether you're developing chatbots, voice assistants, or any interactive system, you'll discover how CLU enables more natural, accurate, and flexible user experiences — even when queries don't match exact training data. Tune in and explore how to bring conversations to life with AI!

🔍 Topics Covered:

• What is CLU and how it works

• The roles of utterances, intents, and entities

• Using Azure to train and deploy models

• Real-world applications for smarter interactions

Perfect for developers, AI enthusiasts, and anyone curious about the future of conversational tech.

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In this episode, we explore how to build intelligent, AI-powered conversational bots using Azure AI Language’s custom question-answering capabilities. You'll learn how this technology enables bots to deliver fast, accurate, and natural responses to user questions—making them essential for customer support, virtual assistants, and enterprise helpdesks.

We’ll guide you through the process of creating a custom knowledge base, including how to import existing FAQ documents or manually enter question-and-answer pairs. You'll also discover how adding alternative phrasings for questions can significantly improve the system's accuracy and flexibility. Finally, we cover how to test, deploy, and manage your Q&A project using Azure AI Language Studio, turning your data into a fully functional conversational experience.

Whether you're a developer, IT professional, or simply curious about AI, this episode will give you a practical and insightful look into bringing intelligent Q&A systems to life with Microsoft’s Azure AI tools.

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Have you ever wondered how computers can understand human language? In this episode, we dive into the fascinating world of Azure AI Language, a powerful service within Azure AI that unlocks the secrets hidden in text.

We'll start by breaking down the foundational concepts of Natural Language Processing (NLP), from tokenization and frequency analysis to sophisticated semantic language models. Discover how these techniques work together to extract meaningful insights from vast amounts of text.

Then, we'll explore the specific, real-world capabilities of Azure AI Language, including:

• Named Entity Recognition: Spotting crucial information like names, places, and organizations.

• Sentiment Analysis: Gauging the emotional tone of text, whether it's positive, negative, or neutral.

• Key Phrase Extraction: Identifying the most important concepts and topics.

• Summarization: Condensing lengthy documents into concise overviews.

To bring it all to life, we'll walk through a practical example: using Azure AI Language in the Azure AI Foundry portal to analyze customer reviews. Learn how to identify key entities, extract important phrases, and summarize feedback to gain valuable business insights.

Whether you're a developer, a data scientist, or just curious about the power of AI, this episode will demystify how machines can understand and process the language we speak every day.

https://learnazure4free.com/