Transformers to Create Chatbots

Summarization you own this product

This project is part of the liveProject series Using Hugging Face Transformers to Create Chatbots
prerequisites
intermediate Python • basics of Jupyter Notebook and NLP
skills learned
use a transformer to create a summarization tool • experiment with different summarizers models • build a chatbot using the Hugging Face library to summarize Wikipedia articles
Giuliano Bertoti
1 week · 6-8 hours per week · BEGINNER
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In this liveProject you’ll develop a chatbot that can summarize a longer text, using the HuggingFace NLP library. Your challenges will include building the task with the Bart transformer, and experimenting with other transformer models to improve your results. Once you’ve built an accurate NLP model, you’ll explore other community models and integrate your summarization task with a chatbot.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

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project author

Giuliano Bertoti
Giuliano Bertoti holds a Master of Science in Electronic Engineering and Computing from the Aeronautics Institute of Technology in Brazil. He has been a professor of Software Engineering and other computer science disciplines for 14 years and has developed several projects in the field of Artificial Intelligence.

prerequisites

This liveProject is for intermediate Python programmers with some experience in natural language processing. To begin this liveProject you will need to be familiar with:

TOOLS
  • Intermediate Python
  • Basics of Jupyter Notebook
TECHNIQUES
  • Basics of natural language processing

you will learn

In this liveProject, you’ll learn to use the powerful Hugging Face Transformers library to create chatbots using the Summarization natural language processing (NLP) task.

  • Build a Summarization NLP pipeline with a BART Transformer
  • Experiment Summarization with other transformers models like T5
  • Explore community NLP models
  • Integrate Summarization pipeline and chatbot

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