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license: cc-by-4.0
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LCT (Laten Connection Model)
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LCT is Transformers variant model that replaced Feed forward network with LCM , how its work ? LCM looking attention as upgraded signal by step1 
step2 for looking attention. and then, LCM will do residural connection (attention (input), laten (output)) for making reached attention signal. 

LCT look processing following: 

embedding => LCT Block (Attention + LCM  ) xN sub model => FFN as decoder => Linear 

Here LCM ploating bechmark: 
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![sample](./LCT_bechmark.png)

LCT install:
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bash 
```
  import LCT_architecture
  model = keras.models.load(LCt-Tiny-version.keras)
```

About LCM: https://zenodo.org/records/17501400?token=eyJhbGciOiJIUzUxMiJ9.eyJpZCI6Ijk2ZmJmNDg3LWI3MTYtNDVlNy05OWEzLTRiOTZkNGFhOTkzMyIsImRhdGEiOnt9LCJyYW5kb20iOiJiZTNhZjBmMGJmN2NmN2EyNWYyMzRiZWI3MjJkMjcwZCJ9.1Tcsiz_aRDDHbR2MmUdf2MkcUPbyKsI88dRGsv1O3MpA-dxBMk7B4JiSvfwk0RKG9SBzV7WGHY3mnth_iEwhTg

support LCT: https://ko-fi.com/alpin92578

Author and Researcher LCT:
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Candra Alpin gunawan 

note: 
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this model trained by 3K Conversations Dataset for ChatBot from kaggle user Kreesh Rajani 
datasets link: https://www.kaggle.com/datasets/kreeshrajani/3k-conversations-dataset-for-chatbot