diff --git a/notebooks/introductory/Part_4_2_Supervised_Training_and_Meta_annotations.html b/notebooks/introductory/Part_4_2_Supervised_Training_and_Meta_annotations.html
index 132a77e..0d8d8a9 100644
--- a/notebooks/introductory/Part_4_2_Supervised_Training_and_Meta_annotations.html
+++ b/notebooks/introductory/Part_4_2_Supervised_Training_and_Meta_annotations.html
@@ -13799,7 +13799,7 @@ <h2 id="Fine-tuning-the-NER+L&#160;model">Fine-tuning the NER+L&#160;model<a cla
 <div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
 </div><div class="inner_cell">
 <div class="text_cell_render border-box-sizing rendered_html">
-<p>To fine-tune the existing models we use the <code>train_supervised()</code> method from MedCAT. The method has the following options:</p>
+<p>To fine-tune the existing models we use the <code>train_supervised_from_json()</code> method from MedCAT. The method has the following options:</p>
 <hr>
 <p><code>data_path</code> - Path to the JSON file exported from MedCATtrainer</p>
 <p><code>reset_cui_count</code> - Each cui has an internal counter that is used for weight decay, this will reset it.</p>
@@ -13823,11 +13823,11 @@ <h2 id="Fine-tuning-the-NER+L&#160;model">Fine-tuning the NER+L&#160;model<a cla
 <div class="prompt input_prompt">In&nbsp;[11]:</div>
 <div class="inner_cell">
     <div class="input_area">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">cat</span><span class="o">.</span><span class="n">train_supervised</span><span class="p">(</span><span class="n">data_path</span><span class="o">=</span><span class="n">DATA_DIR</span> <span class="o">+</span> <span class="s2">&quot;MedCAT_Export.json&quot;</span><span class="p">,</span> 
-                     <span class="n">nepochs</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
-                     <span class="n">reset_cui_count</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
-                     <span class="n">print_stats</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> 
-                     <span class="n">use_filters</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> 
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">cat</span><span class="o">.</span><span class="n">train_supervised_from_json</span><span class="p">(</span><span class="n">data_path</span><span class="o">=</span><span class="n">DATA_DIR</span> <span class="o">+</span> <span class="s2">&quot;MedCAT_Export.json&quot;</span><span class="p">,</span> 
+                               <span class="n">nepochs</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span>
+                               <span class="n">reset_cui_count</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
+                               <span class="n">print_stats</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> 
+                               <span class="n">use_filters</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> 
 </pre></div>
 
     </div>
@@ -13859,10 +13859,10 @@ <h2 id="Fine-tuning-the-NER+L&#160;model">Fine-tuning the NER+L&#160;model<a cla
 
  
  
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@@ -13985,10 +13985,10 @@ <h2 id="Fine-tuning-the-NER+L&#160;model">Fine-tuning the NER+L&#160;model<a cla
 
  
  
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@@ -14007,10 +14007,10 @@ <h2 id="Fine-tuning-the-NER+L&#160;model">Fine-tuning the NER+L&#160;model<a cla
 
  
  
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-<div id="cba1d441-64a6-4dcc-ab5a-5ae744aaff24"></div>
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@@ -17926,7 +17926,7 @@ <h3 id="Train-MetaCAT">Train MetaCAT<a class="anchor-link" href="#Train-MetaCAT"
 <div class="prompt input_prompt">In&nbsp;[19]:</div>
 <div class="inner_cell">
     <div class="input_area">
-<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mc</span><span class="o">.</span><span class="n">train</span><span class="p">(</span><span class="n">json_path</span><span class="o">=</span> <span class="n">DATA_DIR</span><span class="o">+</span><span class="s2">&quot;MedCAT_Export.json&quot;</span><span class="p">,</span> <span class="n">save_dir_path</span><span class="o">=</span><span class="s1">&#39;status&#39;</span><span class="p">)</span>
+<div class=" highlight hl-ipython3"><pre><span></span><span class="n">mc</span><span class="o">.</span><span class="n">train_from_json</span><span class="p">(</span><span class="n">json_path</span><span class="o">=</span> <span class="n">DATA_DIR</span><span class="o">+</span><span class="s2">&quot;MedCAT_Export.json&quot;</span><span class="p">,</span> <span class="n">save_dir_path</span><span class="o">=</span><span class="s1">&#39;status&#39;</span><span class="p">)</span>
 <span class="c1"># Saving the model this way will only save the model epoch with the best performance</span>
 </pre></div>
 
diff --git a/notebooks/introductory/Part_4_2_Supervised_Training_and_Meta_annotations.ipynb b/notebooks/introductory/Part_4_2_Supervised_Training_and_Meta_annotations.ipynb
index 46828ba..406839a 100644
--- a/notebooks/introductory/Part_4_2_Supervised_Training_and_Meta_annotations.ipynb
+++ b/notebooks/introductory/Part_4_2_Supervised_Training_and_Meta_annotations.ipynb
@@ -664,7 +664,7 @@
     "id": "OTR2bcSZDP5V"
    },
    "source": [
-    "To fine-tune the existing models we use the `train_supervised()` method from MedCAT. The method has the following options:\n",
+    "To fine-tune the existing models we use the `train_supervised_from_json()` method from MedCAT. The method has the following options:\n",
     "\n",
     "\n",
     "---\n",
@@ -4353,11 +4353,11 @@
     }
    ],
    "source": [
-    "cat.train_supervised(data_path=DATA_DIR + \"MedCAT_Export.json\", \n",
-    "                     nepochs=1,\n",
-    "                     reset_cui_count=False,\n",
-    "                     print_stats=True, \n",
-    "                     use_filters=True) "
+    "cat.train_supervised_from_json(data_path=DATA_DIR + \"MedCAT_Export.json\", \n",
+    "                               nepochs=1,\n",
+    "                               reset_cui_count=False,\n",
+    "                               print_stats=True, \n",
+    "                               use_filters=True) "
    ]
   },
   {
@@ -6001,7 +6001,7 @@
     }
    ],
    "source": [
-    "mc.train(json_path= DATA_DIR+\"MedCAT_Export.json\", save_dir_path='status')\n",
+    "mc.train_from_json(json_path= DATA_DIR+\"MedCAT_Export.json\", save_dir_path='status')\n",
     "# Saving the model this way will only save the model epoch with the best performance"
    ]
   },
diff --git a/requirements-dev.txt b/requirements-dev.txt
index f70e2ae..c03b137 100644
--- a/requirements-dev.txt
+++ b/requirements-dev.txt
@@ -1,8 +1,8 @@
-medcat~=1.10.0
+medcat~=1.12.0
 pandas<2.0.0
 seaborn~=0.11.2
 pytest-xdist~=2.5.0
 nbmake<1.4
 nbconvert<6
 jinja2<=3.0
-seaborn
\ No newline at end of file
+seaborn