Question Answering

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prerequisites
intermediate Python • basics of Jupyter Notebook and NLP
skills learned
use a transformer to create a question-answer tool • build a chatbot using Hugging Face library to answer user questions using Wikipedia data
Giuliano Bertoti
1 week · 6-8 hours per week · BEGINNER
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catalog / Data Science / Machine Learning / Natural Language Processing
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Look inside
In this liveProject you’ll develop a chatbot that can answer its user’s questions, using the Hugging Face NLP library. Your challenges will include building the task with DistilBERT transformer, and experimenting with other transformer models to improve your results. Once you’ve built an accurate NLP model, you’ll develop a Telegram bot and integrate it with your Question Answer task.
This project is designed for learning purposes and is not a complete, production-ready application or solution.

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

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