Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update README.md (Typo "Azure Open AI"→"Azure OpenAI") #2

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 3 additions & 3 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -110,7 +110,7 @@ This sample repository contains a sample chat prompty file you can explore. This

This pattern was covered in the [hello world prompting sample](https://github.com/Azure-Samples/ai-studio-hello-world), showing how the Prompty file format let's you streamline your LLM calls.

You can test your connection to your Azure Open AI model by running only the sample prompt. Try changing up the specified system prompt to see how the model behaves with additional prompting.
You can test your connection to your Azure OpenAI model by running only the sample prompt. Try changing up the specified system prompt to see how the model behaves with additional prompting.

``` bash
cd ..
Expand Down Expand Up @@ -152,8 +152,8 @@ The code follows the following general logic:
1. Generates a search query based on user query intent and any chat history
1. Uses an embedding model to embed the query
1. Retrieves relevant documents from the search index, given the query
1. Passes the relevant context to the Azure Open AI chat completion model
1. Returns the response from the Azure Open AI model
1. Passes the relevant context to the Azure OpenAI chat completion model
1. Returns the response from the Azure OpenAI model

You can modify this logic as appropriate to fit your use case.

Expand Down