Learn how to implement ChatGPT on your own data, without needing to train language models or learn data science! This entire talk only uses Azure OpenAI APIs with .NET - there is no Python at all.

This talk starts with a review of ChatGPT, with a specific focus on the limitations and problems that we've all heard about. Then we examine, step by step, how to provide additional custom data to ChatGPT without requiring expensive retraining. The techniques provided in this talk allow your company to enhance and focus ChatGPT on your own data and requirements, providing a surprisingly good experience! We'll be using a mixture of both GPT and ChatGPT as well as a handful of supplemental technologies in the final solution.

By the end of this talk, you'll know how to build a complete ChatGPT-based solution that is focused on your own data, using only .NET, some inexpensive Azure APIs, and a few common services. This talk concludes with recommendations on how to move your solution into production, including the necessity of responsible AI development guidelines.