Update transformers_and_llms.ipynb

Author: bansalkanav

Module 9 - GenAI (LLMs and Prompt Engineering)/2. Intro to Transformers and LLMs/transformers_and_llms.ipynb

@@ -231,7 +231,7 @@
  "1. By Google - Autoencoding Language Model\n",
  "2. **[Click Here](https://arxiv.org/pdf/1810.04805.pdf)** to read the original paper from Google - BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.\n",
  "3. Individual NLP tasks have traditionally been solved by individual models created for each specific task. That is, until— BERT!\n",
- "4. Tasks - BERT can solve 11+ NLP tasks such as sentiment analysis, named entity recognition, etc...\n",
+ "4. Tasks - BERT can solve 11+ NLP tasks such as sentiment analysis, named entity recognition, question answering, etc...\n",
  "5. Pretrained on: \n",
  " **a.** English Wikipedia - At the time 2.5 Billion words \n",
  " **b.** Book Corpus - 800 Million words \n",