UNPARTY DOCS
unparty.app
DEMO BUILD
DEMO BUILD
  • unparty demo
    • Key Architectural Terms
  • Bucket Diagram
  • Tech Specs
    • LocalStorageProvider.swift
    • StorageProvider.swift
    • SimilarityService.swift
    • KMeansClusteringService.swift
      • KMeansClusteringService Documentation
      • ClusteringCoordinator Documentation
    • TextTokenizationService.swift
    • WordEmbeddingService.swift
    • UNPARTYTextClassifier.mlmodel
    • ModelPersistanceManager.swift
    • ModelTrainerService.swift
    • EntryModel.swift
    • ClusterModel.swift
    • MLTrainingService.swift
    • TrainingDataManager.swift
  • Page 2
    • build_module_unparty_demo
  • User Input
    • Perceptron
      • src/preprocessor.py:
      • src/perceptron.py:
      • src/main.py:
      • action.py
      • action2.py
  • Connection
    • store.py
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Connection

At the root of the UNPARTY concept is connection. Connecting a user to their next step by empowering the user. Alot of focus when it comes to artificial intellegence is the data sets the models are trained on. However, I want to see how if adding a machine learning process before the user interacts with the LLM would be more beneficial to the user.

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Last updated 5 months ago

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