Sophie Cassidy
Sophie is a Senior Backend Engineer at Lyst, a leading shopping platform that elevates the online shopping experience for customers globally.
As a key member of the Product Data team, she plays a crucial role in ensuring that Lyst’s customers and internal teams have access to high-quality, accurate inventory data and that Lyst delivers a seamless and valuable integration experience for its partners. She is passionate about collaboration and problem-solving and thrives when diving into new challenges alongside fellow engineers.
In addition to her technical role, Sophie is an active member of Lyst’s Women in Engineering committee. She has spearheaded initiatives such as a work experience programme in partnership with Next Tech Girls and an internal, female-focused mentorship programme aimed at fostering growth and support for women in tech.
Session
AI is a hot topic these days! However it's not always clear how to get the best use of it, how to test and trust it, and how to build it into your product. In this workshop, we will explore practical applications of Generative AI with Python, focusing on AI models like OpenAI’s GPT-3-5 and Anthropic’s Claude.
At Lyst, we have been using OpenAI and Anthropic for the past year in various ways. We will share insights from our own work, where AI has significantly enhanced our day-to-day operations. Using OpenAI to tag customer feedback sentiment has enabled employees to extract actionable insights from large volumes of data, improving decision-making and customer understanding. Using Anthropic's AI models to create product titles has resulted in unique, more descriptive content on Lyst's platform, which has increased customer engagement and sales.
In this interactive and engaging workshop, we want attendees to get hands on with these AI models. We'll have OpenAI and Antropic credits for attendees to use, and the workshop will cover essential best practices, prompt engineering strategies to get the model to do what you need it to do, strategies for testing and evaluating, and what to keep in mind when incorporating the model into your product. Ratuja and Sophie have learned a lot of this through trial and error and are excited to share their learnings with the group.
We have a dataset where attendees can use AI prompts to enhance the data and serve it in a Django App. This workshop will both give a high level overview of best practices when incorporating AI into your application and give technical users a chance to play around and learn for themselves.