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					.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-nav-menu--main .elementor-item.elementor-item-active,
					.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-nav-menu--main .elementor-item.highlighted,
					.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-nav-menu--main .elementor-item:focus{color:#FFFFFF;}.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-nav-menu--main:not(.e--pointer-framed) .elementor-item:before,
					.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-nav-menu--main:not(.e--pointer-framed) .elementor-item:after{background-color:#0000006B;}.elementor-1852 .elementor-element.elementor-element-40271e39 .e--pointer-framed .elementor-item:before,
					.elementor-1852 .elementor-element.elementor-element-40271e39 .e--pointer-framed .elementor-item:after{border-color:#0000006B;}.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-nav-menu--main .elementor-item.elementor-item-active{color:#000000;}.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-nav-menu--main:not(.e--pointer-framed) .elementor-item.elementor-item-active:before,
					.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-nav-menu--main:not(.e--pointer-framed) .elementor-item.elementor-item-active:after{background-color:#F8F3EF;}.elementor-1852 .elementor-element.elementor-element-40271e39 .e--pointer-framed .elementor-item.elementor-item-active:before,
					.elementor-1852 .elementor-element.elementor-element-40271e39 .e--pointer-framed .elementor-item.elementor-item-active:after{border-color:#F8F3EF;}.elementor-1852 .elementor-element.elementor-element-40271e39{--e-nav-menu-horizontal-menu-item-margin:calc( 40px / 2 );width:auto;max-width:auto;}.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-nav-menu--main:not(.elementor-nav-menu--layout-horizontal) .elementor-nav-menu > li:not(:last-child){margin-bottom:40px;}.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-item:before{border-radius:10px;}.elementor-1852 .elementor-element.elementor-element-40271e39 .e--animation-shutter-in-horizontal .elementor-item:before{border-radius:10px 10px 0 0;}.elementor-1852 .elementor-element.elementor-element-40271e39 .e--animation-shutter-in-horizontal .elementor-item:after{border-radius:0 0 10px 10px;}.elementor-1852 .elementor-element.elementor-element-40271e39 .e--animation-shutter-in-vertical .elementor-item:before{border-radius:0 10px 10px 0;}.elementor-1852 .elementor-element.elementor-element-40271e39 .e--animation-shutter-in-vertical .elementor-item:after{border-radius:10px 0 0 10px;}.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-nav-menu--dropdown{background-color:#FFFFFFD6;}.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-nav-menu--dropdown a:hover,
					.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-nav-menu--dropdown a.elementor-item-active,
					.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-nav-menu--dropdown a.highlighted,
					.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-menu-toggle:hover{color:#FFFFFF;}.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-nav-menu--dropdown a:hover,
					.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-nav-menu--dropdown a.elementor-item-active,
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.elementor-element.elementor-element-40271e39 > .elementor-widget-container{margin:0% 0% 0% 0%;}.elementor-1852 .elementor-element.elementor-element-6f50744b .elementor-button{font-family:"Roboto", Sans-serif;font-size:14px;font-weight:300;text-transform:uppercase;font-style:normal;text-decoration:none;line-height:1.3em;letter-spacing:1.53px;fill:#FFFFFF;color:#FFFFFF;background-color:#0C215FAD;border-style:double;border-width:2px 2px 2px 2px;border-color:#0C215F00;border-radius:10px 10px 10px 10px;padding:15px 20px 15px 20px;}.elementor-1852 .elementor-element.elementor-element-6f50744b .elementor-button:hover, .elementor-1852 .elementor-element.elementor-element-6f50744b .elementor-button:focus{color:#000000;background-color:#FFFFFF00;}.elementor-1852 .elementor-element.elementor-element-6f50744b .elementor-button:hover svg, .elementor-1852 .elementor-element.elementor-element-6f50744b .elementor-button:focus svg{fill:#000000;}.elementor-1852 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Sans-serif;font-weight:400;}.elementor-1852 .elementor-element.elementor-element-52ca2d31{transition:background 0.3s, border 0.3s, border-radius 0.3s, box-shadow 0.3s;padding:0% 0% 05% 0%;}.elementor-1852 .elementor-element.elementor-element-52ca2d31 > .elementor-background-overlay{transition:background 0.3s, border-radius 0.3s, opacity 0.3s;}:root{--page-title-display:none;}body.elementor-page-1852:not(.elementor-motion-effects-element-type-background), body.elementor-page-1852 > .elementor-motion-effects-container > .elementor-motion-effects-layer{background-image:url("https://www.tensorfyai.com/wp-content/uploads/main_page/main_page_static/1.jpg");background-size:cover;}@media(min-width:768px){.elementor-1852 .elementor-element.elementor-element-6b0c8189{width:15.225%;}.elementor-1852 .elementor-element.elementor-element-1efc19d0{width:84.653%;}}@media(min-width:1025px){body.elementor-page-1852:not(.elementor-motion-effects-element-type-background), body.elementor-page-1852 > .elementor-motion-effects-container > .elementor-motion-effects-layer{background-attachment:fixed;}}@media(max-width:1024px){.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-nav-menu--main > .elementor-nav-menu > li > .elementor-nav-menu--dropdown, .elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-nav-menu__container.elementor-nav-menu--dropdown{margin-top:22px !important;}.elementor-1852 .elementor-element.elementor-element-40271e39 .elementor-menu-toggle{border-width:1px;border-radius:0px;}}@media(max-width:767px){.elementor-1852 .elementor-element.elementor-element-6b0c8189{width:30%;}.elementor-1852 .elementor-element.elementor-element-34cc412e img{width:85%;}.elementor-1852 .elementor-element.elementor-element-1efc19d0{width:70%;}.elementor-1852 .elementor-element.elementor-element-6f50744b .elementor-button{padding:10px 10px 10px 10px;}.elementor-1852 .elementor-element.elementor-element-6f50744b > .elementor-widget-container{margin:0px 0px 0px 8px;}}/* Start custom CSS for html, class: .elementor-element-5a011b6 *//*######################## BUTTON HERE ################################*/
.container {
    display: flex;
}

.sidebar {
    flex: 0 0 150px;
    padding: 20px;
    display: flex;
    flex-direction: column;
    justify-content: center;
}

.btn {
    color: white;
    font-weight: bold;
    border: none;
    padding: 10px;
    
    margin-bottom: 10px;
    cursor: pointer;
    text-align: left;
}
.btn:hover{
    background: none;
}
.btn:focus{
    outline: none;
    background: none;
}
.btn.selected{
    color: #7a7a7a;
    background: none;
    border: none;
   
}
/*###################### HOVER SETTINGS #############################*/
.tech-summary{
    position: absolute;
    height: 4%;
    width: 6.5%;
    border-radius: 50% ;
    display: block;
}

.tech-summary:hover .tech-summary-text{
    position: relative;
    width: 400px;
    left: 110%;
    display: block;
    border-radius: 16px;
    z-index: 100;
}
.tech-summary:hover .tech-summary-text p{
    margin:0;
}

.tech-summary .tech-summary-text{
    /*visibility: hidden;*/
    display: none;
    color: white;
    background: rgb(0,0, 0, .8);
    padding: 8px 20px;
}

/*.tech-summary:hover{*/
/*    border:2px solid #33CCFF;*/
/*}*/
/*######################## HOVER MANUAL ################################*/
/*########################## GPT 4 ###################################*/
#GPT-4{
    border-radius: 0;
    top:1.5%;
    left: 52%
}
#Training_0{
    top:4.5%;
    left: 45.5%
}
#Multimodal_LM{
    top:6.8%;
    left: 39.5%;
}

#RLHF_2023{
    top:6.8%;
    left: 32.9%;
}

#RLHF{
    top:6.8%;
    left: 25.9%;
}

#MoE-4{
    top:6.8%;
    left: 25.9%;
}
#Red_Teaming {
    top:11.5%;
    left: 23%;
}

#Sparrow {
    top:12%;
    left: 16%;
}

#Test_Data-4{
    top:4.5%;
    left: 59.2%;
}

#MMLU{
    top:3.5%;
    left: 64.2%;
}

#HumanEval{
        top:6.5%;
    left: 67.5%;
}
#GSM-8K{
    top:6.5%;
    left: 74.5%;
    width: 5%;
    height: 3%        
}
#ETHICS{
    top:6%;
    left: 79.3%;
    width: 5%;
    height: 3% 
}
#RealToxicityPrompts-4{
    top:9%;
    left: 86.3%;
    width: 6%;
    height: 4% 
}
#TruthfulQA-4{
    top:9%;
    left: 81%;
    width: 6%;
    height: 4% 
}




/*######################## INSTRUCT GPT ################################*/
#InstructGPT{
    border-radius: 0;
    top:7.8%;
    left: 52%
}
#LaMDA{
    top:25%;
    left: 24.6%;
    height: 3%;
    width: 4%
}
#Reward_Learning{
    top:28%;
    left: 21%;
    height: 4%;
    width: 5%
}
#Agent_Alignment{
    top:12.5%;
    left: 77.6%;
    width: 6%;
    height: 4% 
}
#Alignment_Tax{
    top:10.5%;
    left: 73%;
    width: 5%;
    height: 3% 
}
#TruthfulQA{
    top:9.0%;
    left: 56.2%;
    width: 6%;
    height: 4%  

}
#CrowS-Pairs{
    top:23.7%;
    left: 89.3%;
    width: 5%;
    height: 3% 
}

#RLHF_2017{
    top:10.4%;
    left: 65.7%;
    width: 6%;
    height: 4%  
}


#Training_1{
    top:9.0%;
    left: 60.2%;
    width: 6%;
    height: 4%  

}
#RLHF_0{
    top:9.9%;
    left: 45.6%;
    width: 5%;
    height: 3%  
}
#Value-aligned_RL{
    top:13%;
    left: 43.4%
}
#EXT5_EXMIX{
    top:10.9%;
    left: 38.2%
}
#Cross_Talk_Gen{
    top:15%;
    left: 36.9%;
    width: 5%;
    height: 3%
}
#UnifiedQA{
    top:11.5%;
    left: 30.2%
}
#Recursive_sum_with_HF{
    top:16.5%;
    left: 30%
}
#Rank_Preference_Model{
    top:16.3%;
    left: 23.1%
}
#Scaling_LM{
    top:18.9%;
    left: 15.4%
}
#Summary_from_HF_2019{
    top:20.5%;
    left: 22.9%
}
#Reward_Function{
    top:21.3%;
    left: 29.5%    
}
#Scaling_Law_for_NN{
    top:19.3%;
    left: 36%    
}

#Parameter_Scaling {
    top:17%;
    left: 45%;
    height: 3.5%;
    width: 6%
}
#Test_Data{
    top:13.3%;
    left: 60%;
    height: 3.5%;
    width: 4.9%
}
#FLAN {
    top:14.9%;
    left: 66%;
    height: 4.5%;
    width: 7%
}
#T0 {
    top:15.5%;
    left: 73%;    
}
#PPO {
        top:16.6%;
    left: 82%;
    width: 5%;
    height: 3%
}    
#HellaSwag-4{
        top:13.6%;
    left: 86%;
    width: 5%;
    height: 3%    
}
#WinoGrande{
    top:16.5%;
    left: 90%;
    width: 6%;
    height: 4%  
}
#Dialog_Model{
    top:23.5%;
    left: 18%;
    width: 6%;
    height: 4%  
}
#MoE{
       top:22.7%;
    left: 12%;
    width: 6%;
    height: 4%   
}
#Summary_from_HF_2020{
    top:27.7%;
    left: 13.5%;
    width: 6%;
    height: 4%   
}
#Reward_Model{
    top:32.7%;
    left: 13.5%;
    width: 4.5%;
    height: 3%   
}
#TruthfulQA-i{
   top:18.7%;
    left: 76.5%;
    width: 7%;
    height: 5%   
}
#RealToxicityPrompts{
    
    top:20.7%;
    left: 84.5%;
    width: 5%;
    height: 3.5%   
    
}
#DROP-4{
    top:21%;
    left: 93.5%;
    width: 5%;
    height: 3.5%  
}
#ARC{
    top:26%;
    left: 94.5%;
    width: 5%;
    height: 3.5%  
}

/*########################## GPT 3 ###################################*/
#GPT-3{
    border-radius: 0;
    top:15.5%;
    left: 52%
}

#Few_Shot_Test{
    top:20%;
    left: 48%;
    
}

#SuperGLUE{
    top:21%;
    left: 43%;
    width: 5%;
    height: 3%
    
}
#HellaSwag-3{
    top:24%;
    left: 39%;
     height: 3.5%; width: 5%
    
}
#WinoGrande-3{
    top:24.7%;
    left: 33.8%;
    height: 3.5%; width: 5%
    
}
#Natural_Q-3{
    top:28.7%;
left: 33.5%;
width: 4%;
height: 3%;
}
#DROP{
    top:27.5%;
    left: 27.5%;
}
#ARC-3{
    top:31.8%;
    left: 29%;
    width: 3.5%;
    height: 2.7%
}
#TriviaQA{
    top:33.4%;
    left: 24.7%;
    width: 5%;
    height: 3%
}
#LAMBADA{
    top:33.4%;
    left: 19.9%;
    width: 4.7%;
    height: 3%
}
#StoryCloze-3{
    top:37.4%;
    left: 20%;
    width: 5%;
    height: 3%
}
#TriviaQA-3{
    top:37.7%;
    left: 13.5%;
    width: 6%;
    height: 4%
}
#WebQ{
    top:42.4%;
    left: 13.5%;
    width: 4%;
    height: 3%
}
#PTB-3{
    top:45.5%;
    left: 13.6%;
}
#Few_Shot_LM{
    top:17.4%;
    left: 60.5%;
    
}
#Sparse_Transformer{
    top:19.5%;
    left: 69.5%;
    
}
#MAML{
    top:25%;
    left: 77.6%;
    width: 4%;
    height: 3%
    
}
#Match_Network{
    top:25%;
    left: 83.7%;
    width: 5.4%;
    height: 3.7%
    
}
#Pre-training-3{
    top:20.4%;
    left: 56.5%;
    
}

#Filtered_WebText{
     top:21.45%;
    left: 63%;
       
}
#Book1_Book2{
         top:23.9%;
    left: 69.78%;
       
}

#WikiPedia{
         top:27.8%;
    left: 78.5%;
       
}

#Large_Batch_Training{
         top:29%;
    left: 86%;
       
}
#Weight_Decay{
            top:33.3%;
    left: 91%;
       
} 


/*########################## GPT 2 ###################################*/

#GPT-2{
    border-radius: 0;
    top: 24.3%;
    left: 52%;
    width: 7%;
}
#GLUE{
    top: 27.7%;
    left: 38.7%;
    height: 3.5%;
    width: 5.5%;
}
#CoQA{
    top: 32.7%;
    left: 32.1%;
    height: 3.5%;
    width: 5.5%;
}

#WikiText{
    top: 37.8%;
    left: 25.7%;
    height: 3.5%;
    width: 5.5%;
}
#CBT{
    top: 41.8%;
    left: 25.4%;

}

#CNN-Daily_News{
    top: 42.2%;
    left: 19.5%;
}

#a1BW{
    top: 46.7%;
    left: 19%;
}
#BPE_with_Unicode{
    top: 32.7%;
    left: 44%;
}
#Unicode{
    top: 38%;
    left: 39.5%;
}

#Multitask_Learning{
    top: 25.3%;
    left: 61.5%;
}
#Meta_Learning{
    top: 28.3%;
    left: 65.6%;
}
#Zero_Shot{
    top: 29.1%;
    left: 71.7%;
}
#MQAN{
    top: 34.5%;
    left: 82.4%;
}
#decaNLP{
    top: 38.2%;
    left: 87.6%;
}
#QA-SRL{
    top: 42.2%;
    left: 92%;
}
#QA-ZRE{
    top: 46.8%;
    left: 87.8%;
}
#WOZ{
    top: 51.5%;
    left: 90.5%;
}
#WikiSQL{
    top: 56%;
    left: 88%;
}
#Catastrophic_forgetting{
    top: 60.8%;
    left: 89.6%;
}
#Training_Curriculum{
    top: 66.6%;
    left:90.5%;    
}
#WebText{
    top: 32.3%;
    left: 60.5%;
}
#DragNet{
    top: 33.3%;
    left: 67.5%;
}
#Newspaper_Content_Text{
    top: 36.7%;
    left: 73.8%;
}
#Reddit{
    top: 38.7%;
    left: 79.8%;
}
#Common_Crawl{
    top: 42.7%;
    left: 84.4%;
}

#Fine-tuning-2{
    top: 24.7%;
    left: 44.5%;
}
#Tokenization-2{
    top: 28.4%;
    left: 46.6%;
}
#Natural_Q-2{
    top: 31.5%;
    left: 37.4%;
    height: 3.2%;
    width: 5.2%;
}
#LAMBADA-2{
    top: 36.7%;
    left: 31.3%;
    height: 5%;
    width: 8%;

}
#PTB-2{
    top: 50.5%;
    left: 16%;
    height: 3.2%;
    width: 4.5%;
}
#Pre-training-2{
    top: 28.3%;
    left: 57.3%;
}
#MAML-2{
    top: 32.6%;
    left: 76.5%;
}

/*########################## GPT 1 ###################################*/

#GPT-1{
    border-radius: 0;
    top: 32.8%;
    left: 52%;
}

#T5 {
    top: 63.5%;
    left: 17%;
}

#Cloze_Test {
    top: 59%;
    left: 16%;
}

#Seg_Embedding {
    top: 54.8%;
    left: 20%;
}

#BERT {
    top: 50.2%;
    left: 22.5%;
}

#BART {
    top: 46.2%;
    left: 25%;
}

#MASS {
    top: 50.6%;
    left: 29.5%;
}

#UniLM {
    top: 44.3%;
    left: 31.7%;
}

#SpanBERT {
    top: 42.5%;
    left: 37.9%;
}

#RoBERTa {
    top: 41.8%;
    left: 45.2%;
}

#Pre-training-1 {
    top: 37.4%;
    left: 45.6%;
}

#Fine-tuning-1 {
    top: 37.8%;
    left: 62.6%;
}

#NLI {
    top: 40.2%;
    left: 68.4%;
} 

#Semantic_Similarity {
    top: 42.7%;
    left: 59.7%;
}

#QQP {
    top: 46.7%;
    left: 60%;
}

#STS-B {
    top: 51.7%;
    left: 64.5%;    
}

#MRPC {
    top: 57.8%;
    left: 66%;
}

#Text_Classification {
    top: 44.2%;
    left: 66%;
}

#CoLA {
    top: 48%;
    left: 69.5%;
}

#SST-2 {
    top: 54.5%;
    left: 70.3%;
}

#SciTail {
    top: 43.5%;
    left: 72.2%;
} 

#QNLI {
    top: 47.5%;
    left: 75.6%;
}  

#MNLI {
    top: 51.7%;
    left: 75%;
}

#SNLI {
    top: 57.3%;
    left: 74.5%;
}

#RTE {
    top: 62.5%;
    left: 71%;
} 

#QA {
    top: 43.8%;
    left: 78.7%;
}

#RACE {
    top: 49.5%;
    left: 80.7%;
}

#StoryCloze {
    top: 54.6%;
    left: 79.9%;
}

#DRP_for_QA {
    top: 60.9%;
    left: 80.5%;
}

#Context_affects_LM {
    top: 66%;
    left: 78.2%;
}

#RAG {
    top: 69%;
    left: 72.5%;
} 

#REALM {
    top: 73.4%;
    left: 75.2%;
}

#XLNet {
    top: 78.4%;
    left: 72%;
}

#ORCA {
    top: 82.1%;
    left: 77.3%;
}

#Wikipedia_for_QA {
    top: 85.4%;
    left: 72%;
}

#DrQA {
    top: 90.5%;
    left: 71%;
}

#SQuAD {
    top: 94.7%;
    left: 72.3%;
}

#Span_representation {
    top: 72%;
    left: 83%;
}

#Machine_comprehension {
    top: 77.6%;
    left: 82.8%;
}

#Pointer_Net {
    top: 79.6%;
    left: 88.8%;  
}

#Max_Inner_Product_Search {
    top: 84%;
    left: 86.5%;  
}

#TREC_Conf {
    top: 87.3%;
    left: 81.7%;    
}

#Info_Retreival {
    top: 91.1%;
    left: 86%;    
}

#Baseball {
    top: 95%;
    left: 84.1%;  
}

/*########################## Tranformer-D #############################*/
#Tranformer-D{
    border-radius: 0;
    top: 39.5%;
    width: 7%;
    left: 52%;
}


/*######################## Transformer ##############################*/
#Transformer{
    border-radius: 0;
    top: 45.5%;
    left: 51.5%;
    width: 8%;
}

#Feed_Forward_NN{
    border-radius: 50%;
    top: 47.3%;
    left: 45.4%;
    width: 6.1%;
}

#Residual_layer{
    border-radius: 50%;
    top: 48%;
    left: 37.9%;
    width: 6.1%;
    height: 4.4%
}

#ResNet{
    border-radius: 50%;
    top: 53%;
    left: 36.5%;
    width: 5%;
    height: 3.4%
}

#Layer_Norm{
    border-radius: 50%;
    top: 56.1%;
    left: 32.5%;
    width: 6%;
    height: 4%
}

#Batch_Normalization{
    border-radius: 50%;
    top: 58.8%;
    left: 26%;
    width: 7.2%;
    height: 4.3%
}

#CNN{
    border-radius: 50%;
    top: 63%;
    left: 30%;
    width: 5.3%;
    height: 3.5%
}

#AE{
    border-radius: 50%;
    top: 66%;
    left: 25.5%;
    width: 6.5%;
    height: 4.5%
}

#GAN{
    border-radius: 50%;
    top: 69.3%;
    left: 18%;
    width: 5.5%;
    height: 3.8%
}

#RNN{
    border-radius: 50%;
    top: 73.7%;
    left: 16%;
    width: 5.5%;
    height: 3.3%
}

#LSTM{
    border-radius: 50%;
    top: 77%;
    left: 12.6%;
    width: 5.5%;
    height: 3.3%
}

#Unsupervised_learning{
    border-radius: 50%;
    top: 80.5%;
    left: 15%;
    width: 6.7%;
    height: 4.5%
}

#Reinforcement_learning{
    border-radius: 50%;
    top: 86%;
    left: 13%;
    width: 7.5%;
    height: 5%
}

#BiRNN{
    border-radius: 50%;
    top: 72.5%;
    left: 23.3%;
    width: 5.2%;
    height: 3.5%
}

#VGG16{
    border-radius: 50%;
    top: 76.5%;
    left: 21%;
    width: 6.8%;
    height: 4.5%
}

#FaceNet{
    border-radius: 50%;
    top: 81.4%;
    left: 23.8%;
    width: 5%;
    height: 3.5%
}

#VGGFace{
    border-radius: 50%;
    top: 85.2%;
    left: 20.5%;
    width: 6%;
    height: 4%
}

#YOLO{
    border-radius: 50%;
    top: 89%;
    left: 24%;
    width: 6.1%;
    height: 4.3%
}

#Machine_learning{
    border-radius: 50%;
    top: 94.2%;
    left: 20%;
    width: 7%;
    height: 4.7%
}

#MLP{
    border-radius: 50%;
    top: 71.5%;
    left: 29.2%;
    width: 5.3%;
    height: 3.3%
}

#CTC{
    border-radius: 50%;
    top: 75.5%;
    left: 28.6%;
    width: 5%;
    height: 3.3%
}

#ReLU_Sigmoid{
    border-radius: 50%;
    top: 79.3%;
    left: 29.5%;
    width: 7.2%;
    height: 5%
}

#Perceptron{
    border-radius: 50%;
    top: 85.2%;
    left: 29.2%;
    width: 6.2%;
    height: 4.2%
}

#Supervised_learning{
    border-radius: 50%;
    top: 90%;
    left: 32%;
    width: 7%;
    height: 5%
}

#Regression_classification{
    border-radius: 50%;
    top: 74.5%;
    left: 34.2%;
    width: 6.8%;
    height: 4.3%
}

#Data_Label{
    border-radius: 50%;
    top: 82.8%;
    left: 36%;
    width: 6.4%;
    height: 4%
}

#Linear_Algebra{
    border-radius: 50%;
    top: 86.8%;
    left: 40%;
    width: 8.5%;
    height: 5.5%
}

#Vector_math{
    border-radius: 50%;
    top: 93%;
    left: 39.4%;
    width: 6.5%;
    height: 4%
}

#Word_Embedding{
    border-radius: 50%;
    top: 52.2%;
    left: 41.8%;
    width: 6.5%;
    height: 4%
}

#Positional_Embedding{
    border-radius: 50%;
    top: 58%;
    left: 40%;
    width: 6.5%;
    height: 4%
}

#In_out_Embedding_Tie{
    border-radius: 50%;
    top: 63.5%;
    left: 36%;
    width: 7.7%;
    height: 4.8%
}

#Multihead_attention{
    border-radius: 50%;
    top: 55%;
    left: 47%;
    width: 6.8%;
    height: 4.5%
}

#Sentence_embedding{
    border-radius: 50%;
    top: 61%;
    left: 46%;
    width: 6%;
    height: 3.67%
}

#Self-Attention{
    border-radius: 50%;
    top: 65.5%;
    left: 44.7%;
    width: 5.1%;
    height: 3.5%
}

#Attention{
    border-radius: 50%;
    top: 69%;
    left: 41%;
    width: 5%;
    height: 3.8%
}

#Bigram_N-gram_LM{
    border-radius: 50%;
    top: 73.1%;
    left: 42.8%;
    width: 6.6%;
    height: 4.8%
}

#Neural_Probabilistic_LM{
    border-radius: 50%;
    top: 78.8%;
    left: 42%;
    width: 8.5%;
    height: 5.5%
}

#ADAM_Optimizer{
    border-radius: 50%;
    top: 51.6%;
    left: 53.3%;
    width: 5.5%;
    height: 3.67%
}

#GELU{
    border-radius: 50%;
    top: 56%;
    left: 54%;
    width: 5.3%;
    height: 3.3%
}

#Label_Smoothing{
    border-radius: 50%;
    top: 59.5%;
    left: 52.6%;
    width: 6.8%;
    height: 4.5%
}

#RMSProp{
    border-radius: 50%;
    top: 64.3%;
    left: 51.3%;
    width: 6.3%;
    height: 3.8%
}

#AdaGrad{
    border-radius: 50%;
    top: 68.2%;
    left: 50%;
    width: 5%;
    height: 3.5%
}

#Momentum{
    border-radius: 50%;
    top: 71.1%;
    left: 53%;
    width: 6.2%;
    height: 4.3%
}

#SGD{
    border-radius: 50%;
    top: 74.8%;
    left: 50.2%;
    width: 5.4%;
    height: 3.3%
}

#Backpropagation{
    border-radius: 50%;
    top: 77.3%;
    left: 53.2%;
    width: 7.1%;
    height: 4.8%
}

#Regularization{
    border-radius: 50%;
    top: 81.8%;
    left: 50.5%;
    width: 5.5%;
    height: 3.5%
}

#Dropout{
    border-radius: 50%;
    top: 84%;
    left: 55%;
    width: 6.6%;
    height: 4.1%
}

#Overfitting{
    border-radius: 50%;
    top: 86.9%;
    left: 51%;
    width: 5.3%;
    height: 3.4%
}

#Underfitting{
    border-radius: 50%;
    top: 89.8%;
    left: 54.7%;
    width: 5.5%;
    height: 3.5%
}

#Calculus{
    border-radius: 50%;
    top: 93.6%;
    left: 51.6%;
    width: 6.6%;
    height: 4.1%
}

#Tokenization-t{
    border-radius: 50%;
    top: 57.8%;
    left: 58.6%;
    width: 5.3%;
    height: 3.3%
}

#sub-word_tokens{
    border-radius: 50%;
    top: 62.8%;
    left: 58.5%;
    width: 6.8%;
    height: 4.5%
}

#WordPiece{
    border-radius: 50%;
    top: 68.2%;
    left: 58.5%;
    width: 5.7%;
    height: 3.6%
}

#BPE{
    border-radius: 50%;
    top: 73.8%;
    left: 59.5%;
    width: 6.7%;
    height: 4.5%
}

#Ouput_Decoding{
    border-radius: 50%;
    top: 66.3%;
    left: 65%;
    width: 5.8%;
    height: 4.3%
}

#Greedy_Search{
    border-radius: 50%;
    top: 73.8%;
    left: 67%;
    width: 5.7%;
    height: 3.6%
}

#Beam_Search{
    border-radius: 50%;
    top: 79.1%;
    left: 61.5%;
    width: 8.2%;
    height: 5.8%
}/* End custom CSS */