Small final updates and corrections (#430)

* 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

* Update get started lab

* Small fixes and corrections

* Small fixes and corrections

---------

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/3-setup-the-database/setup-the-database-tenancy.md

@@ -256,7 +256,7 @@ In this task we are going to create a Vault and an encryption key. We are going
    ![Screenshot showing how to navigate to the vault page](./images/navigate-to-vault.jpg)
 
 1. Under the **List scope** section, make sure that the **root** compartment is selected.
-1. Click the **Create Autonomous Database** button at the top of the **Autonomous Databases** table.
+1. Click the **Create Vault** button at the top of the **Vaults** table.
 
    ![Screenshot showing how to navigate to the create vault page](./images/create-vault-button.jpg)
 

oci-generative-ai-agents-introduction/4-create-the-agent/create-the-agent-sandbox.md

@@ -39,11 +39,13 @@ In this lab, you will:
 
 1. Under the **Tools** section, click the **Add tool** button to create our first tool.
 
-   ![Screenshot showing how to create a new tool](./images/create-new-tool.jpg)
+   ![Screenshot showing how to create a new tool](./images/create-new-tool.png)
 
 1. Select the **RAG** tool option.
 1. Under the **RAG Configuration** section, use _Knowledge base articles_ in the **Name** field.
-1. For the **Description** field, use: _This tool will retrieve knowledge base support articles whenever a customer support representative requires troubleshooting information to resolve a support ticket_. It is very important to provide a high-level description of the knowledge that this tool can retrieve. This allows the agent to make accurate decisions when choosing to invoke this tool.
+1. For the **Description** field, use: _This tool will retrieve knowledge base support articles whenever a customer support representative requires troubleshooting information to resolve a support ticket_.
+
+   It is very important to provide a high-level description of the knowledge that this tool can retrieve. This allows the agent to make accurate decisions when choosing to invoke this tool.
 
    ![Screenshot showing the initial configuration for the RAG tool](./images/rag-tool-info-1.jpg)
 
@@ -80,9 +82,9 @@ In this lab, you will:
 
    ![Screenshot showing the end of the RAG tool configuration](./images/rag-tool-info-3.jpg)
 
-1. Now that we have our RAG tool configured, let's configure our SQL tool. In the **Tools** section Click the **Create tool** button.
+1. Now that we have our RAG tool configured, let's configure our SQL tool. In the **Tools** section Click the **Add tool** button.
 
-   ![Screenshot showing the create tool button for creating the SQL tool](./images/create-sql-tool.jpg)
+   ![Screenshot showing the create tool button for creating the SQL tool](./images/create-new-tool.png)
 
 1. Click the **SQL** option.
 1. For the **Name** field, use: _Customer support database_.
@@ -187,9 +189,8 @@ In this lab, you will:
 
 1. For **Model customization**, select the **Small** option.
 1. For **Dialect**, select **Oracle SQL**.
-1. In the **Database tool connection in...** select the **customer-supportXXXX** connection we've previously created.
-1. Click the **Test connection** button.
-1. If the connection test succeeded, you should see a message similar to the following:
+1. In the **Database tool connection in...** select the **connection-customersupportXXXX** connection we've previously created.
+1. Click the **Test connection** button. You should see a successful connection connection attempt.
 1. Enable the **SQL execution** option. This option will instruct the tool to execute the SQL queries generated by the tool as a result of the user's requests. This will allow the agent to craft intelligent responses based on the data returned from the queries.
 1. Enable the **Self correction** option. Enabling this option will allow the tool to automatically detect and correct syntax errors in generated SQL queries.
 

oci-generative-ai-agents-introduction/4-create-the-agent/create-the-agent-tenancy.md

@@ -45,11 +45,13 @@ This lab assumes you have:
 
 1. Under the **Tools** section, click the **Add tool** button to create our first tool.
 
-   ![Screenshot showing how to create a new tool](./images/create-new-tool.jpg)
+   ![Screenshot showing how to create a new tool](./images/create-new-tool.png)
 
 1. Select the **RAG** tool option.
 1. Under the **RAG Configuration** section, use _Knowledge base articles_ in the **Name** field.
-1. For the **Description** field, use: _This tool will retrieve knowledge base support articles whenever a customer support representative requires troubleshooting information to resolve a support ticket_. It is very important to provide a high-level description of the knowledge that this tool can retrieve. This allows the agent to make accurate decisions when choosing to invoke this tool.
+1. For the **Description** field, use: _This tool will retrieve knowledge base support articles whenever a customer support representative requires troubleshooting information to resolve a support ticket_.
+
+   It is very important to provide a high-level description of the knowledge that this tool can retrieve. This allows the agent to make accurate decisions when choosing to invoke this tool.
 
    ![Screenshot showing the initial configuration for the RAG tool](./images/rag-tool-info-1.jpg)
 
@@ -86,9 +88,9 @@ This lab assumes you have:
 
    ![Screenshot showing the end of the RAG tool configuration](./images/rag-tool-info-3.jpg)
 
-1. Now that we have our RAG tool configured, let's configure our SQL tool. In the **Tools** section Click the **Create tool** button.
+1. Now that we have our RAG tool configured, let's configure our SQL tool. In the **Tools** section Click the **Add tool** button.
 
-   ![Screenshot showing the create tool button for creating the SQL tool](./images/create-sql-tool.jpg)
+   ![Screenshot showing the create tool button for creating the SQL tool](./images/create-new-tool.png)
 
 1. Click the **SQL** option.
 1. For the **Name** field, use: _Customer support database_.
@@ -191,7 +193,7 @@ This lab assumes you have:
 
 1. For **Model customization**, select the **Small** option.
 1. For **Dialect**, select **Oracle SQL**.
-1. In the **Database tool connection in...** select the **customer-support** connection we've previously created.
+1. In the **Database tool connection in...** select the **connection-customersupportXXXX** connection we've previously created.
 1. Click the **Test connection** button.
 
    ![Screenshot showing the second set of the SQL tool configuration](./images/sql-tool-info-2.jpg)

oci-generative-ai-agents-introduction/4-create-the-agent/images/create-new-tool.jpg

@@ -1,5 +1,5 @@
 {
-    "workshoptitle": "Introduction to Building Your Own Agent",
+    "workshoptitle": "Build Your Own AI Agent to Boost Productivity and Efficiency",
     "help": "[email protected]",
     "tutorials": [
         {

oci-generative-ai-agents-introduction/4-create-the-agent/images/create-new-tool.png

@@ -1,5 +1,5 @@
 {
-    "workshoptitle": "Introduction to Building Your Own Agent",
+    "workshoptitle": "Build Your Own AI Agent to Boost Productivity and Efficiency",
     "help": "[email protected]",
     "tutorials": [
         {