In this session, we will learn about the following:

Phase 1: Understand the NLP based concepts
- Familiarize yourself with NLP terminology and process flow necessary to retrieve information from an unstructured pool of text corpus.
Phase 2: Deep-dive on BERT/DistilBERT
- Understand the BERT architecture its workings and why it’s a massive improvement over previous language models. Explore the problem statement and steps to solve it.
Phase 3: Walkthrough of the Code
- Colab notebook walkthrough to go step by step in the process of building the question-answering model

DistilBERT: Build a Question Answering System using Transfer Learning in Python

10th Sep

01:30 PM - 02:30 PM (CUT)

Jayeeta Putatunda

About this session

Session stream

This session has ended, you must fill the form above to watch the replay