update

Author: nocomplexity

LLMLearning.md

@@ -0,0 +1,44 @@
+# LLM Learning Resources
+
+Understanding how LLMs work is challenging. But learning the core concepts is should be fun. Good news is that great open tutorials are created that give you a kickstart when working with LLMs.
+
+
+::::{grid} 3
+:class-container: text-center
+:gutter: 3
+
+
+:::{grid-item-card} 
+:link: https://poloclub.github.io/transformer-explainer/
+{octicon}`book;1em;caption-text` **Transformer Explainer**
+^^^
+
+Transformer Explainer is an interactive visualization tool designed to help anyone learn how Transformer-based models like GPT work. It runs a live GPT-2 model right in your browser, allowing you to experiment with your own text and observe in real time how internal components and operations of the Transformer work together to predict the next tokens. 
+
++++
+[More »](https://poloclub.github.io/transformer-explainer/)
+:::
+
+
+:::{grid-item-card} 
+:link: https://jalammar.github.io/illustrated-transformer/
+{octicon}`book;1em;caption-text` **The Illustrated Transformer**
+^^^
+Understanding LLMs means learning about "The Transformer". This great and short blog with videos makes is simple again. 
++++
+[More »](https://jalammar.github.io/illustrated-transformer/)
+:::
+
+
+:::{grid-item-card} 
+:link: https://jaykmody.com/blog/gpt-from-scratch/
+{octicon}`book;1em;caption-text` **GPT in 60 Lines of NumPy**
+^^^
+Nice hands-on to learn the basic of LLMs. Implement a GPT from scratch in just 60 lines of numpy. 
++++
+[More »](https://jaykmody.com/blog/gpt-from-scratch/)
+:::
+
+
+:::: 
+% End of Grid

_toc.yml

@@ -26,6 +26,7 @@ parts:
   - file: mlcourses
   - file: ml-books  
   - file: NLPlearningresources
+  - file: LLMLearning
 - caption: About
   chapters:
   - file: help

ml-books.md

@@ -44,7 +44,7 @@ Check the [guides](https://developers.google.com/machine-learning/guides/).
 
 Google Machine Learning Education
 
-Learn to build ML products with Google's Machine Learning Courses.
+Learn to build ML products with Google's Machine Learning Courses
 
 [The foundational courses](https://developers.google.com/machine-learning) cover machine learning fundamentals and core concepts.
 ```
@@ -94,7 +94,7 @@ Great visuals that help learning and understanding the key ML concepts!
 ```
 
 
-```{admonition}   Applied Machine Learning for Tabular Data.
+```{admonition}   Applied Machine Learning for Tabular Data
 :class: tip, dropdown
 
 A practical guide to developing quality predictive models from tabular data.