GLISSANDO AI
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Natural Language Processing

HOW IT WORKS

NLU and NLG

Two main branches of NLP are natural language understanding (NLU) and natural language generation (NLG). While NLU models extract some sort of understanding out of a text (such as sentiment or polarity), NLG models generate texts based on some coded input (examples, chatbots, auto complete, image captioning, machine translation) 

Image to Text

Optical character recognition or optical character reader is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo or from subtitle text superimposed on an image. Wikipedia

Try the demo below by uploading your own images or use the examples. 

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Demo only, limited accuracy and performance!​

Chatbot

This chatbot is a customer service assistant working at a large car dealership. It uses ChatGPT API to answer questions related to cars and services. 

Start a conversion by asking:
  • Which cars are available for sale?
  • What services do you offer?
  • What is your cheapest car?

​Demo only, limited accuracy and performance!
​Be patient with this demo as it needs to load a heavy language model on limited cloud resources. 
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Technical Description 

Connected to OpenAI API, uses prompt engineering to focus the conversation on a specific topic.
There is a built-in moderation layer to monitor the chat and its quality. 
​API is hosted on private GCP account. 
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Previous Implementation:
Model using DialoGPT-medium to generate text with a casual tone. 
Improvement suggested for v2:
  • Custom train on a few topics 
Picture

Word Cloud

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Picture

Sentiment Analysis

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Picture

Chatbot

A chatbot running on ChatGPT language model.
Let's start your project today
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  • Home
    • Contact
    • About
  • Computer Vision
    • Picture Swap
  • Artificial Intelligence
  • Natural Language Processing
  • Machine Learning
  • Data Engineering