adding more content

rh-aiservices-bu · Dec 16, 2023 · 24ef14b · 24ef14b
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diff --git a/.github/.wordlist.txt b/.github/.wordlist.txt
@@ -123,3 +123,14 @@ YAML
 yolo
 YOLO
 YOLOV
+
+Guillaume
+Moutier
+Robert
+Lundberg
+Audrey
+Guidera
+Chris
+Chase
+Prasanth
+Anbalagan
diff --git a/content/modules/ROOT/nav.adoc b/content/modules/ROOT/nav.adoc
@@ -36,3 +36,6 @@
 * 6. Productization and Extrapolations
 ** xref:06-01-potential-imp-ref.adoc[6.1 Potential improvements and refinements]
 ** xref:06-02-applicability-other.adoc[6.2 Applicability to other industries]
+
+* 7. End of Lab
+** xref:07-01-end-of-lab.adoc[7.1 Thanks]
diff --git a/content/modules/ROOT/pages/06-01-potential-imp-ref.adoc b/content/modules/ROOT/pages/06-01-potential-imp-ref.adoc
@@ -4,7 +4,7 @@
 
 Although we welcome feedback, critique, we prefer https://github.com/rh-aiservices-bu/insurance-claim-processing/issues[Issues] and https://github.com/rh-aiservices-bu/insurance-claim-processing/pulls[Pull Requests].
 
-But this section of the lab is not meant for Improvements and Refinements to the lab. Instead it is about...
+But this section of the lab is not meant for Improvements and Refinements **to the lab**. Instead it is about...
 
 == To the presented prototype
 
@@ -24,3 +24,6 @@ Therefore, now, we need to review what was done, and make suggestions along thes
 * How efficiently are we going to be able to make updates to its components if we need to? Is there a chance that making a change to the LLM model, the YOLOV8 model, the database, the application, we introduce breaking changes?
 
 * If that is the case, what would we want to do to avoid those possibilities?
+
+* Which parts seem to still be manual and time-consuming, and how could we automate them better, to avoid human errors if we can.
+
diff --git a/content/modules/ROOT/pages/06-02-applicability-other.adoc b/content/modules/ROOT/pages/06-02-applicability-other.adoc
@@ -1,2 +1,38 @@
-= pages/06-02-applicability-other.adoc
+= Applicability to other industries
 
+Now, the examples we've shown throughout this lab are specific to the Insurance industry, and within that, claims processing.
+
+However, none of the techniques we used here are inherently related to this industry or this use-case.
+
+So let's take some examples, and discuss what we **could** do using the same techniques against **other** use-cases.
+
+== Industries
+
+* Healthcare
+* Retail
+* Automotive
+* Agriculture
+* Finance
+* Manufacturing
+* Education
+
+== Use cases
+
+1. Healthcare
+   - medical imaging analysis
+   - patient record summarization
+
+2. Automotive
+   - Object recognition for autonomous vehicles
+
+3. Agriculture
+   - crop disease analysis
+
+4. Finance
+   - loan application paperwork analysis
+
+5. Manufacturing
+   - Quality control through visual inspection of products
+
+6. Education
+    - LLM as a teaching assistant
diff --git a/content/modules/ROOT/pages/07-01-end-of-lab.adoc b/content/modules/ROOT/pages/07-01-end-of-lab.adoc
@@ -0,0 +1,16 @@
+= Thank you for your participation
+
+We hope that the materials we used during this time together were useful and gave you a better appreciation and understanding of what goes into an intelligent application.
+
+If you notice https://github.com/rh-aiservices-bu/insurance-claim-processing/issues[issues] with the content and/or want to send us a https://github.com/rh-aiservices-bu/insurance-claim-processing/pulls[pull request], we'll appreciate it very much.
+
+== Acknowledgements
+
+Here is a list of people who have participated, directly or indirectly, to the creation and delivery of this lab.
+
+* Guillaume Moutier
+* Robert Lundberg
+* Audrey Guidera
+* Chris Chase
+* Prasanth Anbalagan
+* Erwan Granger