deploy: 8828e34

Author: mehmetbutgul

assets/images/Upload jars:whl files .jpg renamed to assets/images/Upload jars_whl_files.jpg

@@ -2356,7 +2356,7 @@ <h3 id="step-5-upload-files">Step 5: Upload Files</h3>
 
   <p><img src="https://github.com/user-attachments/assets/a275d80d-768f-4402-bdab-d95864e73690" alt="image" /></p>
 
-  <p><img src="https://github.com/user-attachments/assets/48339e38-fb5e-4dd7-b235-bfcb645cc855" alt="image" /></p>
+  <p><img src="https://github.com/user-attachments/assets/53bc84ae-40dc-41dc-9522-e87bf70d4fba" alt="image" /></p>
 
   <p>After uploading is complete, you can configure and run the notebook.</p>
 

docs/en/licensed_install.html

@@ -1,4 +1,4 @@
-<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.9.2">Jekyll</generator><link href="/feed.xml" rel="self" type="application/atom+xml" /><link href="/" rel="alternate" type="text/html" /><updated>2024-08-22T08:44:18+00:00</updated><id>/feed.xml</id><title type="html">Spark NLP</title><subtitle>High Performance NLP with Apache Spark
+<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.9.2">Jekyll</generator><link href="/feed.xml" rel="self" type="application/atom+xml" /><link href="/" rel="alternate" type="text/html" /><updated>2024-08-23T13:50:18+00:00</updated><id>/feed.xml</id><title type="html">Spark NLP</title><subtitle>High Performance NLP with Apache Spark
 </subtitle><author><name>{&quot;type&quot;=&gt;nil, &quot;name&quot;=&gt;nil, &quot;url&quot;=&gt;nil, &quot;avatar&quot;=&gt;nil, &quot;bio&quot;=&gt;nil, &quot;email&quot;=&gt;nil, &quot;facebook&quot;=&gt;nil, &quot;twitter&quot;=&gt;nil, &quot;weibo&quot;=&gt;nil, &quot;googleplus&quot;=&gt;nil, &quot;telegram&quot;=&gt;nil, &quot;medium&quot;=&gt;nil, &quot;zhihu&quot;=&gt;nil, &quot;douban&quot;=&gt;nil, &quot;linkedin&quot;=&gt;nil, &quot;github&quot;=&gt;nil, &quot;npm&quot;=&gt;nil}</name></author><entry><title type="html">JSL_MedM_v2 (LLM - q16)</title><link href="/2024/08/21/jsl_medm_q16_v2_en.html" rel="alternate" type="text/html" title="JSL_MedM_v2 (LLM - q16)" /><published>2024-08-21T00:00:00+00:00</published><updated>2024-08-21T00:00:00+00:00</updated><id>/2024/08/21/jsl_medm_q16_v2_en</id><content type="html" xml:base="/2024/08/21/jsl_medm_q16_v2_en.html">## Description
 
 This LLM model is trained to extract and link entities in a document. Users needs to define an input schema as explained in the example section. Drug is defined as a list which tells the model that there could be multiple drugs in the document and it has to extract all of them. Each drug has properties like name and reaction. Since “name” is only one, it is a string, but there could be multiple reactions, hence it is a list. Similarly, users can define any schema for any type of entity.