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[DataFramed AI Series #4] Building AI Products with ChatGPT

DataFramed

CHAPTER

How to Build Chatbots With Local Data

The chatbot uses local data to get around privacy issues. Land Chain allows you to create a sequence of back and forth with several pieces of software involved, not just chat GPT. So, for example, if you don't want any bad feedback, therefore you're supposed not to use bad words, then you can filter the bad words up from it. And also instruct chat GPT not to use any bad language. The involvement of these are the tools as to do with filtering, with correction, with preparing the context to make the query. It's called an embedding or vector data. One other interesting aspect is I have to do a lot of reading. so, I put together

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