NLP with Transformers

In this workshop, we will introduce foundational concepts of the transformer architecture.

We will also look at some use-cases for using pre-trained models that fit our use case, using popular Python frameworks like TensorFlow and PyTorch.

Join us for an informative session on the technology that built Large Language Models, and what it can do to enhance your skills as a researcher! 

Join us for an engaging and accessible introduction to Natural Language Processing (NLP) and its practical applications for everyday tasks! In the series, "NLP for All," we will explore the fundamental concepts behind NLP: From understanding how computers interpret human language; to discovering how to improve search queries, use regular expressions, find datasets, and learn about pipelines for working with language. 

Whether you're curious about chatbots, voice assistants, or automated text transcription and analysis, this series will demystify popular technologies and show you how they work.

• Foundations of NLP: Gain a solid grasp of NLP concepts and terminology without needing a technical background.
• Real-World Applications: Explore practical uses of NLP in various contexts, such as improving search and information retrieval, generating and evaluating automatic transcriptions, and working with popular libraries such as spaCy, PyTorch and scikit-learn.
• Hands-On Experience: We will illustrate NLP concepts in action with a well-documented code notebook, aimed at solving practical examples. We will also explore online sources for NLP tools and datasets, such as HuggingFace.

• A Google account to run Google Colab (where we will do most of our programming exercises)
• Basic knowledge of Python. You can brush up python fundamentals with Software Carpentry's Introduction to Python (section 1) 

SERIES: Natural Language Processing for All

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When:  Thursdays, 3-4 pm, Sept. 5 - Oct. 24, 2024
Where: Weaver Science-Engineering Library, Rm 212 and on  Zoom
Instructors: Megh Krishnaswamy
YouTube: Links will be added after the workshops have been presented.

Workshop Materials

• 09/05  Introduction to NLP with SpaCy 

• 09/12  Regular Expressions for NLP  

• 09/19  NLP with Transformers  

• 09/26  Introduction to Semantic Search  

• 10/03  Introduction to Information Extraction  

• 10/10  Text pre-processing for NLP  

• 10/17  Introduction to Speech Technology 

• 10/24  Speech-to-Text with Whisper AI 

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