updated to granite3.1

Author: jjasghar

docs/README.md

@@ -31,8 +31,8 @@ The introductory page of the workshop is broken down into the following sections
 | [Lab 1: Building a local AI co-pilot](lab-1/README.md) | Let's get it installed! |
 | [Lab 2: Using the local AI co-pilot](lab-2/README.md) | Let's learn about how to use a local AI co-pilot |
 | [Lab 3: Configuring AnythingLLM](lab-3/README.md) | Let's configure AnythingLLM |
-| [Lab 4: Prompt engineering overview](lab-4/README.md) | Let's learn about leveraging the `granite-3.0-dense` model |
-| [Lab 5: Useful prompts and use cases](lab-5/README.md) | Let's get some good over arching prompts and uses cases with `granite-3.0-dense` model |
+| [Lab 4: Prompt engineering overview](lab-4/README.md) | Let's learn about leveraging the `granite3.1-dense` model |
+| [Lab 5: Useful prompts and use cases](lab-5/README.md) | Let's get some good over arching prompts and uses cases with `granite3.1-dense` model |
 
 ## Compatibility
 

docs/lab-3/README.md

@@ -15,14 +15,14 @@ Open up AnyThingLLM, and you should see something like the following:
 If you see this that means AnythingLLM is installed correctly, and we can continue configuration, if not, please find a workshop TA or
 raise your hand we'll be there to help you ASAP.
 
-Next as a sanity check, run the following command to confirm you have the [granite3-dense](https://ollama.com/library/granite3-dense)
+Next as a sanity check, run the following command to confirm you have the [granite3.1-dense](https://ollama.com/library/granite3.1-dense)
 model downloaded in `ollama`. This may take a bit, but we should have a way to copy it directly on your laptop.
 
 !!! note
     We need to figure out a way to copy the models into ollama without downloading.
 
 ```bash
-ollama pull granite3-dense:8b
+ollama pull granite3.1-dense:8b
 ```
 
 Next click on the `wrench` icon, and open up the settings. For now we are going to configure the global settings for `ollama`
@@ -52,5 +52,5 @@ it knows _something_.
 Now you may notice that the answer is slighty different then the screen shot above. That's expected and nothing to worry about. If
 you have more questions about it raise your hand and one of the helpers would love to talk you about it.
 
-Congratulations! You have AnythingLLM running now, configured to work with `granite-3.0-dense` and `Ollama`!
+Congratulations! You have AnythingLLM running now, configured to work with `granite3.1-dense` and `Ollama`!
 

docs/lab-4/README.md

@@ -37,12 +37,12 @@ desired subject, style, layout, lighting, and aesthetic.
 ## The three key principles of PE?
 1. Be specific: The more criteria you give, the more focused the output will be
 1. Work in steps: break the task into smaller chunks. This returns better results, just like a human
-1. Iterate and improve: Re-work the inputs and have the granite-3.0 model improve its own output.
+1. Iterate and improve: Re-work the inputs and have the granite-3.1 model improve its own output.
 
 ## What makes a good prompt?
 1. Clear and concise language that is direct and unambiguous
 1. The information and examples that you provide area your input.
-1. A specific task that you are requesting granite-3.0 to complete area your desired output
+1. A specific task that you are requesting granite-3.1 to complete area your desired output
 1. Refinement as needed once you receive your first response area reiteration until receiving the desired output
 
 

docs/lab-5/README.md

@@ -24,7 +24,7 @@ I'll be running:
 I'm looking to explore pasta making recipes. Do you have any suggestions on recipes that are unique and challanging?
 ```
 
-As you can see granite-3.0 comes back with some very challenging options:
+As you can see granite-3.1 comes back with some very challenging options:
 
 ![pasta challenges](../images/anythingllm_pasta_challenges.png)
 
@@ -39,7 +39,7 @@ I do like some homemade ravioli, what is the spinach ricotta and cheese recipe y
 ![homemade ravioli](../images/anythingllm_homemade_ravioli.png)
 
 Now this may seem odd, or even pointless, but hopefully you can start seeing that if you treat the prompt like
-a conversation that you interate on, you can talk back and forth with the granite-3.0 and find interesting
+a conversation that you interate on, you can talk back and forth with the granite-3.1 and find interesting
 nuggets of knowledge.
 
 ## Client or Customer email generation