minor changes, added link to ml-retreat

dist/index.html

@@ -57,7 +57,7 @@
         <p>In this article we go through the fundamentals of embeddings. We will cover what embeddings are, how they evolved over time from statistical methods to modern techniques, check out how they're implemented in practice, look at some of the most important embedding techniques, and how the embeddings of an LLM (DeepSeek-R1-Distill-Qwen-1.5B) look like as a graph representation.</p>
 
         <p>This article includes interactive visualization and hands-on code examples. It also avoids verbosity and focuses on the core concepts for a fast-paced read to get straight to the point. The full code is available on my <a href="https://github.com/hesamsheikh/llm-mechanics">LLM Mechanics GitHub repository</a>.</p>
-        <aside>To contribute to the article, point out any mistakes, or suggest improvements, please check out<a href="https://huggingface.co/spaces/hesamation/primer-llm-embedding/discussions">Community</a>.</aside>
+        <aside>To contribute to the article, point out any mistakes, or suggest improvements, please check out <a href="https://huggingface.co/spaces/hesamation/primer-llm-embedding/discussions">Community</a>.</aside>
 
         <div class="audio-container">
             <audio controls>
@@ -483,6 +483,9 @@
         <p><strong>Thank you for reading through this article.</strong> If you found this useful, consider following me on <a href="https://x.com/Hesamation">X (Twitter)</a> and <a href="https://huggingface.co/hesamation">Hugging Face</a> to be notified about my next projects.</p>
 
         <p>If you have any questions or feedback, please feel free to write in the <a href="https://huggingface.co/spaces/hesamation/primer-llm-embedding/discussions">community</a>.</p>
+
+        <p>You can also check out my <a href="https://github.com/hesamsheikh/ml-retreat">ml-retreat repository</a> for my notes and resources on fundamental NLP, LLM, or machine learning topics.</p>
+
     </d-article>
 
     <d-appendix>

src/index.html

@@ -57,7 +57,7 @@
         <p>In this article we go through the fundamentals of embeddings. We will cover what embeddings are, how they evolved over time from statistical methods to modern techniques, check out how they're implemented in practice, look at some of the most important embedding techniques, and how the embeddings of an LLM (DeepSeek-R1-Distill-Qwen-1.5B) look like as a graph representation.</p>
 
         <p>This article includes interactive visualization and hands-on code examples. It also avoids verbosity and focuses on the core concepts for a fast-paced read to get straight to the point. The full code is available on my <a href="https://github.com/hesamsheikh/llm-mechanics">LLM Mechanics GitHub repository</a>.</p>
-        <aside>To contribute to the article, point out any mistakes, or suggest improvements, please check out<a href="https://huggingface.co/spaces/hesamation/primer-llm-embedding/discussions">Community</a>.</aside>
+        <aside>To contribute to the article, point out any mistakes, or suggest improvements, please check out <a href="https://huggingface.co/spaces/hesamation/primer-llm-embedding/discussions">Community</a>.</aside>
 
         <div class="audio-container">
             <audio controls>
@@ -470,6 +470,9 @@
         <p><strong>Thank you for reading through this article.</strong> If you found this useful, consider following me on <a href="https://x.com/Hesamation">X (Twitter)</a> and <a href="https://huggingface.co/hesamation">Hugging Face</a> to be notified about my next projects.</p>
 
         <p>If you have any questions or feedback, please feel free to write in the <a href="https://huggingface.co/spaces/hesamation/primer-llm-embedding/discussions">community</a>.</p>
+
+        <p>You can also check out my <a href="https://github.com/hesamsheikh/ml-retreat">ml-retreat repository</a> for my notes and resources on fundamental NLP, LLM, or machine learning topics.</p>
+
     </d-article>
 
     <d-appendix>