https://github.com/dipanjans/adv_nlp_workshop_odsc_apac2323

Extensive tutorials for the Advanced NLP Session in Open Data Science Conference APAC 2023. We will leverage deep transfer learning, notably transformers and LLMs like ChatGPT to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Summarization, Language Translation, Q&A systems
https://github.com/dipanjans/adv_nlp_workshop_odsc_apac2323

Last synced: 11 days ago
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Extensive tutorials for the Advanced NLP Session in Open Data Science Conference APAC 2023. We will leverage deep transfer learning, notably transformers and LLMs like ChatGPT to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Summarization, Language Translation, Q&A systems

• Host: GitHub
• URL: https://github.com/dipanjans/adv_nlp_workshop_odsc_apac2323
• Owner: dipanjanS
• License: gpl-3.0
• Created: 2023-08-21T10:22:38.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-08-22T06:59:44.000Z (about 1 year ago)
• Last Synced: 2024-10-07T13:41:56.120Z (about 1 month ago)
• Language: Jupyter Notebook
• Size: 2.18 MB
• Stars: 3
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# ODSC APAC 2023 Advanced NLP Session

![](https://i.imgur.com/M6URb7p.png)

# Advanced NLP: Deep Transfer Learning for Natural Language Processing with Transformers and Large Language Models

![](https://i.imgur.com/mXFRvUS.png)

## Abstract: 

Being specialized in domains like computer vision and natural language processing is no longer a luxury but a necessity which is expected of any data scientist in today’s fast-paced world! With a hands-on and interactive approach, we will understand essential concepts in deep transfer learning for NLP with a focus on Transformers and Large Language Models. We will compare and contrast transformers like BERT and LLMs like ChatGPT. Finally we will also showcase with hands-on tutorials how to solve popular tasks using NLP including NER, Classification, Search / Information Retrieval, Summarization, Classification, Language Translation, Q&A systems using models like BERT and ChatGPT and popular libraries like HuggingFace, OpenAI and the Python programming language.




### Key Hands-on Examples

1. NLP Applications - Sentiment Analysis, Question Answering, Summarization, Translation, Zero-shot Classification

2. NLP Applications using Transformers and Large Language Models - ChatGPT

3. Question-Answering Search Engine Chatbots using Transformers and Large Language Models - ChatGPT




## Background Knowledge

__Skills:__ Understanding of Machine Learning and Deep Learning

__Tools \ Languages:__ Python, PyTorch, Open AI, HuggingFace Transformers, Langchain




### Author