Update testing prompts (#419)

* initial commit

* rename root folder and update code file

* update source code zip

* update screenshots

* self QA updates

* update source zip file

* livelab updates

* Resolve language comments

* added instructions for the operation of the random tweets generator

* update source archive

* moved the zip file to object storage + minor language changes

* Added description for the bundled images

* add clarification to Twitter rule creation

* minor changes

* LiveLab additions

* Additions to livelab

* updates for CloudWorld

* Initial boilerplate

* adding notebooks examples

* update the notebooks

* checking the setup lab and new structure

* adding load data lab

* update the hol notebooks

* update prep notebook

* setup the lab structure

* Lab 6 - Try The Untuned LLM Model

* Lab 6 - Try The Untuned LLM Model

* lab 7 - tune ChefGPT

* Lab #8 - Let's try our ChefGPT

* add <copy> tags to notebook source

* add cell comment

* add notebooks to lab instead of copy/paste blocks

* Move the cell descriptions into the notebooks & add notebooks download links

* Add  md files for lab 3-5

* Add in create project and create notebook sections

* add introduction section and step showing unzipping of the dataset

* Self-QA feedback updates

* Self QA PR comments

* add greenbutton folder

* Fix publish review comments

* Add OCW23 folders

* Fix filename link in manifest.json file

* Initial structure

* Initial structure

* Rest of content for v1

* Lyudmil's feedback

* Add a more descriptive text for each image

* Remove dataset zip file and add PAR link to it

* Update timing

* Fix numbering on the last workshop

* Update Sandbox compatment insturctions

* Fix the create an agent page

* Initial commit, tenancy version

* Updated to the tenancy version

* Update lab name in manifest

* Introduction to creating your first agent

* Fix title

* Add proceed to the next lab comment

* Update lab title

* Add LabX prefix to lab names

* Update prompts

---------

Co-authored-by: lyudmil-pelov <[email protected]>
Co-authored-by: Wendy Yip <[email protected]>
Co-authored-by: ZackaryRice <[email protected]>

Author: 4 people

oci-generative-ai-agents-introduction/5-test-the-solution/test-the-solution-sandbox.md

@@ -86,7 +86,7 @@ This lab assumes you have:
     ![Screenshot showing an alternative response for the second question](./images/second-question-response-2.jpg)
 
 1. Feel free to take a look at the **Traces** generated for this response.
-1. Next we'll ask the following: _Show me the title and description for Emily Chen's assigned tickets_
+1. Next we'll ask the following: _Show me the title and description for all of the tickets assigned to the support agent Emily Chen_
 1. Click the **Submit** button.
 
     ![Screenshot showing the third question for the agent](./images/send-third-question.jpg)
@@ -95,7 +95,7 @@ This lab assumes you have:
 
     ![Screenshot showing the third question for the agent](./images/third-question-response.jpg)
 
-1. Now that we have information about the tickets, let's see if we can pull up a knowledge article which can help us resolve "Complex Network Configuration Issue" ticket. Type the following question: _Do we have a knowledge article that can help with network configuration?_
+1. Now that we have information about the tickets, let's see if we can pull up a knowledge article which can help us resolve "Complex Network Configuration Issue" ticket. Type the following question: _Do we have a knowledge article which can help resolve the "Complex Network Configuration Issue" ticket?_
 1. Click the **Submit** button.
 1. As you can see, for this question, the agent figured out that the information required might be in the knowledge base articles. For this task it employed the RAG tool which searched for the relevant information in our knowledge base articles stored in object storage. Feel free to look at the traces for this interaction which show the steps the agent took to give us the information we needed. In the response you can see that a summary of the article was provided, but, also, if you expand the **View citations** section, you'll be able to see a reference to the article(s) which were used to compose the reply with a direct link to the file(s), the page(s) from which content was extracted and more.
 

oci-generative-ai-agents-introduction/5-test-the-solution/test-the-solution-tenancy.md

@@ -86,7 +86,7 @@ This lab assumes you have:
     ![Screenshot showing an alternative response for the second question](./images/second-question-response-2.jpg)
 
 1. Feel free to take a look at the **Traces** generated for this response.
-1. Next we'll ask the following: _Show me the title and description for Emily Chen's assigned tickets_
+1. Next we'll ask the following: _Show me the title and description for all of the tickets assigned to the support agent Emily Chen_
 1. Click the **Submit** button.
 
     ![Screenshot showing the third question for the agent](./images/send-third-question.jpg)
@@ -95,7 +95,7 @@ This lab assumes you have:
 
     ![Screenshot showing the third question for the agent](./images/third-question-response.jpg)
 
-1. Now that we have information about the tickets, let's see if we can pull up a knowledge article which can help us resolve "Complex Network Configuration Issue" ticket. Type the following question: _Do we have a knowledge article that can help with network configuration?_
+1. Now that we have information about the tickets, let's see if we can pull up a knowledge article which can help us resolve "Complex Network Configuration Issue" ticket. Type the following question: _Do we have a knowledge article which can help resolve the "Complex Network Configuration Issue" ticket?_
 1. Click the **Submit** button.
 1. As you can see, for this question, the agent figured out that the information required might be in the knowledge base articles. For this task it employed the RAG tool which searched for the relevant information in our knowledge base articles stored in object storage. Feel free to look at the traces for this interaction which show the steps the agent took to give us the information we needed. In the response you can see that a summary of the article was provided, but, also, if you expand the **View citations** section, you'll be able to see a reference to the article(s) which were used to compose the reply with a direct link to the file(s), the page(s) from which content was extracted and more.