Imagine you have a company handbook and want to use openai to make a FAQ bot working on the handbook. So colleagues could ask any question and the bot will give you the answer according to the handbook. How would I do this? Prompting the whole handbook is not possible. Fine tuning completions needs …

[image] How to create FAQ on internal company data? API Imagine you have a company handbook and want to use openai to make a FAQ bot working on the handbook. So colleagues could ask any question and the bot will give you the answer according to the handbook. How would I do…

[image] manuelfusss: How would I do this? Prompting the whole handbook is not possible. Fine tuning completions needs too much data, I think. Any idea maybe? Really hope to get some Exchange here. It’s a great question, and while it seems straightforward, there could be several ways to create…

To implement company data, begin creating a knowledge base, then use the system and assistant role as shown in this notebook : Denis2054/Transformers-for-NLP-2nd-Edition/blob/main/Bonus/Prompt_Engineering_as_an_alternative_to_fine_tuning.ipynb { "nbformat": 4, "nbformat_minor": …

Thank you. One question. As I submit fixed texts by roles. How can I make openai find automatically the right answers and maybe also answers according to all the submitted information, I did not yet add the fitting question for

[image] manuelfusss: How can I make openai find automatically the right answers and maybe also answers according to all the submitted information This might help. [image] How to create FAQ on internal company data? API There are many ways to do this. I …

You have pointed out THE critical aspect of implementing conversational AI! There are three aspects of implementation: Project goal. Knowing exactly what we expect our AI to do. Designing a good prompt dataset to make sure that when a person uses the AI, the application knows the answers. And now…

The new retrieval plugin is the answer here :slight_smile:.

If a person just wants to explore OpenAI models, then there is nothing special to know about transformers. However, if a person wants to implement transformers at advanced level, then it is necessary to become an expert. This GitHub repository contains open-source OpenAI Python notebooks and readi…

You can try Langchain in your scenario. I created embeddings and stored my data (plain text file) in Pinecone’s vector database. In my case, I used the story of Cinderella just for testing. I was able to get answers solely related to the story. I think that’s what you need in your case. However…

AFAIK 100% factual information from your own corpus can be obtained via embeddings or via the Retrieval Plugin. Embeddings will get a prompt and most probably show an answer built with your corpus. “Most probably” means that it may answer “I don’t know” or whatever you program it to answer in such …

FAQ on custom data to support company internal

API

bill.french March 18, 2023, 11:29am 6

This might help.

Prompt context formatting best practice

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FAQ on custom data to support company internal

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