From the course: Understanding Generative AI in Cloud Computing: Services and Use Cases (2023)

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Overview of natural language processing (NLP) techniques for text generation

Overview of natural language processing (NLP) techniques for text generation

From the course: Understanding Generative AI in Cloud Computing: Services and Use Cases (2023)

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Overview of natural language processing (NLP) techniques for text generation

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- [Instructor] Natural language processing, or NLP for short, is a field of AI that enables machines to understand and generate human language, much like we do. Text generation techniques leveraged by NLP play an essential role in various applications such as chatbots, language translation, content creation and more, that we learned about in the last video. In short, NLP focuses on how we could make interaction with machines more similar to interacting with humans. Let's begin by breaking NLP down to a few core concepts. Role-based systems. Role-based systems are the simplest form of text generation in NLP, they rely on predefined grammatical rules and templates to generate text. I followed grammatical rules to create the text for this video. I had an AI grammar checker follow my writing and suggest corrections. Template-based approaches. Template based approaches involve a prebuilt template with placeholders that can…

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