Natural Language Processing

In this section you're going to learn about natural language processing (NLP) in the Azure cloud. We'll start with an examination of NLP and break it down into text analytics, sentiment detection, entity recognition, speech synthesis and recognition, and machine translation.

Then I'll show you some demos of Python notebooks that perform text analytics and machine translation on sample text fragments. Next, we'll dive into the exciting field of language understanding which promises to revolutionize the field of conversational AI. I'll show you another demo of a voice-controlled smart home using only a few lines of Python code.

We'll move on by examining the latest breakthrough in language understanding: large language models or LLMs. I'll show you how to do prompt engineering with an OpenAI language model and demonstrate fake news generation and hallucination. Finally, we will wrap up by studying the principles of responsible conversational bots, and I'll show you a healthcare bot built by Microsoft with the Azure Bot Framework.