deploy: ad05868

Author: KshitizGIT

docs/en/alab/annotation_labs_releases/release_notes_6_2_1.html

@@ -626,16 +626,25 @@ <h2 id="section">6.2.1</h2>
 
   <p>Release date: <strong>06-19-2024</strong></p>
 
+</div>
+<div class="h3-box">
+
   <h3 id="feature">Feature</h3>
   <ul>
     <li>Add a feature to Save Credentials while importing  projects from cloud</li>
   </ul>
 
+</div>
+<div class="h3-box">
+
   <h3 id="improvements">Improvements</h3>
   <ul>
     <li>Section Classifier server should be deleted when idle for a long time</li>
   </ul>
 
+</div>
+<div class="h3-box">
+
   <h3 id="bug-fixes">Bug Fixes</h3>
   <ul>
     <li>User is not able to see relations arrows before completion is submitted</li>

drug_adverse_events.html

@@ -766,7 +766,7 @@ <h2 class="subtitle">Drugs & Adverse Events - Live Demos & Notebooks</h2><div cl
         <div class="tab-item-inner">
         <div class="tab-item-wrapper"><div class="tab-item-top df"><figure class="tab_fig_blue">
                 <img src="/assets/images/OPIOID.svg" alt="" />
-                </figure><div class="tab-item-title">OPIOID</div>
+                </figure><div class="tab-item-title">Detect Opioid Related Entities</div>
             </div><div class="tab-description"><div class="tab-description-inner">This demo includes details about different kinds of pretrained models to detect and label opioid related entities within text data. <a href="#" class="show_more">(...)</a></div></div></div><ul class="tab-menu"><li><a id="opioid" class="btn button--normal button--pill button--lg"
                 href="https://demo.johnsnowlabs.com/healthcare/OPIOID/">Live Demo</a></li><li><a id="opioid" class="btn button--blue_btn button--pill button--lg"
                 href="https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/healthcare/OPIOID.ipynb">Colab</a></li></ul></div> 
@@ -826,14 +826,6 @@ <h2 class="subtitle">Drugs & Adverse Events - Live Demos & Notebooks</h2><div cl
             </div><div class="tab-description"><div class="tab-description-inner">This model classifies texts as containing or not containing adverse drug events description. <a href="#" class="show_more">(...)</a></div></div></div><ul class="tab-menu"><li><a id="detect_ade_related_texts" class="btn button--normal button--pill button--lg"
                 href="https://demo.johnsnowlabs.com/healthcare/CLASSIFICATION_ADE/">Live Demo</a></li><li><a id="detect_ade_related_texts" class="btn button--blue_btn button--pill button--lg"
                 href="https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/Certification_Trainings/Healthcare/16.Adverse_Drug_Event_ADE_NER_and_Classifier.ipynb">Colab</a></li></ul></div> 
-    </div><div class="tab-item ">
-        <div class="tab-item-inner">
-        <div class="tab-item-wrapper"><div class="tab-item-top df"><figure class="tab_fig_blue">
-                <img src="/assets/images/Detect_ADE_related_texts.svg" alt="" />
-                </figure><div class="tab-item-title">Detect Opioid Related Entities</div>
-            </div><div class="tab-description"><div class="tab-description-inner">This model is designed to detect and label opioid related entities within text data. Opioids are a class of drugs that include the illegal drug heroin, synthetic opioids such as fentanyl, and pain relievers available legally by prescription. The model has been trained using advanced deep learning techniques on a diverse range of text sources and can accurately recognize and classify a wide range of opioid-related entities. <a href="#" class="show_more">(...)</a></div></div></div><ul class="tab-menu"><li><a id="detect_opioid_related_entities" class="btn button--normal button--pill button--lg"
-                href="https://demo.johnsnowlabs.com/healthcare/NER_OPIOID/">Live Demo</a></li><li><a id="detect_opioid_related_entities" class="btn button--blue_btn button--pill button--lg"
-                href="https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-workshop/blob/master/tutorials/streamlit_notebooks/healthcare/NER_OPIOID.ipynb">Colab</a></li></ul></div> 
     </div></div></div></section>
   </div>
 </div>

feed.xml

@@ -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>2024-07-19T23:26:05+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>2024-07-24T11:02:45+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 (LLM - q16)</title><link href="/2024/07/12/jsl_medm_q16_v1_en.html" rel="alternate" type="text/html" title="JSL_MedM (LLM - q16)" /><published>2024-07-12T00:00:00+00:00</published><updated>2024-07-12T00:00:00+00:00</updated><id>/2024/07/12/jsl_medm_q16_v1_en</id><content type="html" xml:base="/2024/07/12/jsl_medm_q16_v1_en.html">## Description
 
 This LLM model is trained to perform Q&amp;A, Summarization, RAG, and Chat.