Shefali Shrivastava
Shefali is completing her MS in Applied Statistics at Columbia University and brings over 3 years of data science and analytics experience across education, consulting, and AdTech. Her notable work includes leading data-driven initiatives that impacted 90,000 schools at BCG, optimizing ad performance at Media.net (one of the top 5 largest AdTech companies worldwide by market cap), and developing cloud-based analytics solutions for U.S. non-profit institutions.
Sessions
Colab Notebook Link: https://colab.research.google.com/drive/1faxDHE3LdAwH7MORdnJei87Q0WF1BhS0?usp=sharing
Make a copy to your local drive to start working on this notebook.
Ever wondered how groundbreaking language models like ChatGPT and Llama were built? The answer lies in transformer, a powerful neural network architecture. In this workshop, we'll dive deep into the inner workings of transformers, with specific focus on self-attention mechanism. We will guide you through the process of building one from scratch. Whether you're a beginner or an experienced practitioner, this workshop is designed to cater to all levels of expertise.