Skip to content

Commit 3c3d37f

Browse files
committed
docs: add sample results
1 parent a5af791 commit 3c3d37f

File tree

1 file changed

+2
-2
lines changed

1 file changed

+2
-2
lines changed

README.md

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -61,7 +61,7 @@ python3 -m models.examples.rag "What analytics and accounting courses does Whart
6161

6262
### Retrieval Augmented Generation
6363

64-
For the question, "What analytics and accounting courses does Wharton offer?", an
64+
For the question, _"What analytics and accounting courses does Wharton offer?"_ , an
6565
embedding can potentially dramatically alter the response generated by chatGPT. To illustrate, I uploaded a batch of 21 sets of lecture notes in PDF format for an online analytics course taught by Wharton professor [Brian Bushee](https://accounting.wharton.upenn.edu/profile/bushee/). You can download these from https://cdn.lawrencemcdaniel.com/fswl/openai-embeddings-data.zip to test whether your results are consistent.
6666

6767
#### The control set
@@ -93,7 +93,7 @@ These are just a few examples of the analytics and accounting courses offered at
9393
(venv) (base) mcdaniel@MacBookAir-Lawrence openai-embeddings % python3 -m models.examples.online_courses "analytics and accounting"
9494
```
9595

96-
#### With an embedding
96+
#### Same prompt but with an embedding
9797

9898
After creating an embedding from the sample set of pdf documents, you can prompt models.examples.rag with the same question, and it should provide a quite different response compared to the control from example 1. It should resemble the following:
9999

0 commit comments

Comments
 (0)