Change "we" to "you" except in story conversation (#66)

* Update lessons 1 and 2

* Chapter 3 review + consistency fixes throughout

* Fix "you will learn" to be consistent

* Syntax fixes

* Fix consistency in quiz

* Chapter 4 review

* Chapter 5 review

* Add "coming soon"

* Update "we" to "you" except in the story conversation.

* Fix sentence

Author: DanWahlin

lessons/01-intro-to-genai/README.md

@@ -178,7 +178,7 @@ If you want to talk to Dinocrates, run the [Characters](/app/README.md) app.
 
 ### Code sneak peek
 
-While we still have a lot more to cover in this Generative AI curriculum, let's take a quick peek at the AI code to begin learning about using JavaScript with AI.
+While there is still a lot more to cover in this Generative AI curriculum, let's take a quick peek at the AI code to begin learning about using JavaScript with AI.
 
 Inside of `/app/app.js` you'll find an `app.post`function that handles the Generative AI functionality. It's shown next:
 

lessons/02-first-ai-app/README.md

@@ -219,11 +219,11 @@ console.log(completion.choices[0]?.message?.content);
 
 Let's explain what's happening here:
 
-- Creating the question as 'Hello, how are you?'. This is the text we want to translate to Italian.
+- Creating the question as 'Hello, how are you?'. This is the text you want to translate to Italian.
 - Creating the augmented prompt, which contains the input text and some additional instructions what to do, i.e translate. Note how we're using string interpolation to include the input text in the prompt and how that instruction is to translate the text to Italian.
 - Creating the client with properties:
   - `model`, what model to use. 
-  - `messages`, the prompt to send to the model. Also note how we set the role to "user" to indicate that the input text is from the user. Had it been from the AI, we would set the role to "system".
+  - `messages`, the prompt to send to the model. Also note how you set the role to "user" to indicate that the input text is from the user. Had it been from the AI, you would set the role to "system".
 - Extracting the generated text from the response and printing it to the console.
 
 **You:** I think I get it. So if I change the value of the `question` variable to something else, the app will generate a different Italian translation?

lessons/04-structured-output/README.md

@@ -229,7 +229,7 @@ Result:
 | Astrolabe            | An astronomical instrument for solving problems related to time and star positions. | Brass or other metals, engraving tools, mathematical knowledge | Medium |
 | Printing Press       | A press for reproducing texts more efficiently than hand-copying. | Wood, metal for movable type, ink, paper | High |
 
-This time we end up with a table that is easier to read and understand.
+This time you end up with a table that is easier to read and understand.
 ```
 
 **Leonardo:** I like this, will save me a lot of time for sure.

lessons/05-rag/README.md

@@ -101,7 +101,7 @@ For a more detailed explanation of the app, see [Detailed app explanation](../01
 
 **Ada:** Let’s start by discussing the AI we’ll use to power the device. We’ll rely on “AI models” paired with a data retrieval system to boost response quality.
 
-First, we need to address some challenges before diving into RAG details. These models, trained on vast text data, can produce relevant and correct responses. But, like any data source, their output can be inaccurate, incomplete, or misleading due to various factors.
+First, you need to address some challenges before diving into RAG details. These models, trained on vast text data, can produce relevant and correct responses. But, like any data source, their output can be inaccurate, incomplete, or misleading due to various factors.
 
 - **Out of date sources:** The data used to train the model may be outdated and no longer accurate.
 - **Wrong or inaccurate information:** The sources used to train the model may contain incorrect or misleading information, like fake news or biased opinions.