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This course builds conversational AI on GPT-3, starting with what chatbots are used for and then moving into fine-tuning the model for particular jobs such as customer service or lead generation. Much of the material concerns making replies more accurate and fluent, and managing how a conversation flows.
The second half looks at connecting a chatbot to messaging apps, voice assistants and social channels through APIs and SDKs, including the platform features those channels offer. Interface design, testing and production deployment are also covered.
Developers who want to take a chatbot from prototype to a live channel will find the integration material most relevant. Because the examples center on GPT-3, readers should check current model options against what the course describes.
In this course, you will discover the power of GPT-3 in creating conversational AI solutions.
We will start with an introduction to chatbots and their use cases, and then dive deep into GPT-3 and its capabilities. You will learn how to fine-tune the model for specific tasks, such as customer service, lead generation, or entertainment. We will cover techniques for improving the accuracy and fluency of the chatbot's responses, as well as strategies for handling user input and managing conversation flow.
Next, we will explore different ways to integrate GPT-3 chatbots with various platforms and channels, such as messaging apps, voice assistants, and social media. You will learn how to use APIs and SDKs to connect your chatbot to these platforms and leverage their features, such as natural language processing, voice recognition, or rich media support. We will also cover best practices for designing chatbot user interfaces and testing and deploying your chatbot in production.
By the end of this course, you will have a solid understanding of how GPT-3 works and how to use it to build powerful and engaging chatbots for your business or personal projects. You will have hands-on experience with fine-tuning GPT-3 models and integrating them with various platforms and channels, and you will be ready to apply these skills in real-world scenarios.
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Tracking since 15 Nov — not enough history yet to tell you whether today's price is any good. Watch the course and we'll tell you when it drops.
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