Prompt Engineering Best Practices: Building Chatbots
Prompt Engineering for Instruction-Tuned LLMs
One of the compelling aspects of utilizing a large language model lies in its capacity to effortlessly construct a personalized chatbot and leverage it to craft your very own chatbot tailored to various applications.
In the forthcoming tutorial, we delve deep into the OpenAI chat completions format, unraveling its nuances and intricacies to provide you with a comprehensive understanding.
Armed with this knowledge, you’ll embark on an enlightening journey towards constructing your very own chatbot from the ground up. Through step-by-step guidance and practical demonstrations, you’ll unlock the potential to shape conversational experiences that resonate with your audience, driving engagement and efficiency in your chosen domain.
Table of Contents:
Setting Working Environment & Getting Started
Understanding Messages Roles
Build a Customized Chatbot
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I recently published my first e-book Data Science Portfolio for Success which is a practical guide on how to build your data science portfolio. The book covers the following topics: The Importance of Having a Portfolio as a Data Scientist How to Build a Data Science Portfolio That Will Land You a Job?
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