Merge pull request #696 from sujee/resources1

Adding a resources page

README.md

@@ -30,7 +30,7 @@ The goal is to offer high-level APIs for developers to quickly get started in wo
 - [Scaling transforms from laptop to cluster](#laptop_cluster)
 - [Repository Use and Navigation](doc/repo.md)
 - [How to Contribute](CONTRIBUTING.md)
-- [Talks and Papers](#talks_papers)
+- [Resources (papers, talks, presentations and tutorials)](resources.md)
 - [Citations](#citations)
 
 ## &#x1F4D6; About <a name = "about"></a>
@@ -213,14 +213,7 @@ When you finish working with the cluster, and want to clean up or destroy it. Se
 You can run transforms via docker image or using virtual environments. This [document](doc/quick-start/run-transform-venv.md) shows how to run a transform using virtual environment. You can follow this [document](doc/quick-start/run-transform-image.md) to run using docker image. 
 
 
-## 🎤 + 📄 Talks and Papers <a name = "talks_papers"></a>
 
-1. [Data-Prep-Kit: getting your data ready for LLM application development](https://arxiv.org/abs/2409.18164)
-2. [Granite Code Models: A Family of Open Foundation Models for Code Intelligence](https://arxiv.org/abs/2405.04324)
-3. [Scaling Granite Code Models to 128K Context](https://arxiv.org/abs/2407.13739)
-4. Talk on "Building Successful LLM Apps: The Power of high quality data" [Video](https://www.youtube.com/watch?v=u_2uiZBBVIE) [Slides](https://www.slideshare.net/slideshow/data_prep_techniques_challenges_methods-pdf-a190/271527890)
-5. Talk on "Hands on session for fine tuning LLMs" [Video](https://www.youtube.com/watch?v=VEHIA3E64DM)
-6. Talk on "Build your own data preparation module using data-prep-kit" [Video](https://www.youtube.com/watch?v=0WUMG6HIgMg)
 
 ## Citations <a name = "citations"></a>
 

resources.md

@@ -0,0 +1,23 @@
+# Data Prep Kit Resources
+
+## 📄 Papers
+
+1. [Data-Prep-Kit: getting your data ready for LLM application development](https://arxiv.org/abs/2409.18164)
+2. [Granite Code Models: A Family of Open Foundation Models for Code Intelligence](https://arxiv.org/abs/2405.04324)
+3. [Scaling Granite Code Models to 128K Context](https://arxiv.org/abs/2407.13739)
+
+
+## 🎤 Talks
+
+1. **"Building Successful LLM Apps: The Power of high quality data"** - [Video](https://www.youtube.com/watch?v=u_2uiZBBVIE)  |   [Slides](https://www.slideshare.net/slideshow/data_prep_techniques_challenges_methods-pdf-a190/271527890)
+2. **"Hands on session for fine tuning LLMs"** - [Video](https://www.youtube.com/watch?v=VEHIA3E64DM)
+3. **"Build your own data preparation module using data-prep-kit"** - [Video](https://www.youtube.com/watch?v=0WUMG6HIgMg)
+
+## Example Code
+
+## Tutorials / Blogs
+
+## Workshops
+
+- **2024-09-21: "RAG with Data Prep Kit" Workshop** @ Mountain View, CA, USA - [info](https://github.com/sujee/data-prep-kit-examples/blob/main/events/2024-09-21__RAG-workshop-data-riders.md)
+