Name: LLMs in Action: How Booking.com Scans, Detects, & Monitors Fake & Unsafe Content
Start: 2024-11-20T18:30:00+01:00
End: 2024-11-20T21:00:00+01:00

Explore the power of LLMs in this hands-on workshop featuring real use cases from Booking.com. Learn how to scan and detect fake and unsafe content in reviews, and discover how AI is applied to keep reviews trustworthy and the platform secure.

The workshop will be divided into two parts. The first part will introduce the business use case and explain how LLMs come to the rescue in detecting and preventing fake content. In the second part, participants will get hands-on experience working with script-generated reviews, gaining an overview of relevant models from Hugging Face, and training a model specifically for this purpose. You’ll also learn practical applications using Hugging Face's powerful transformers library.

Whether you're interested in LLMs, online safety, or the mechanics of content moderation, this session offers an in-depth look at the cutting-edge tools that help maintain a safe digital environment.

**Compete to win prizes!**
After the workshop we will have a quiz competition where you can win prizes! The details will be given on location.

**Note**
This event will not be recorded for later viewing on our YouTube channel.

**Agenda**
18:30 - Doors open, food and drinks
19:00 - Workshop
20:30 - Networking

**GitHub Repo**
[https://github.com/pyladiesams/llms-scan-reviews-nov2024](https://github.com/pyladiesams/llms-scan-reviews-nov2024)

Any questions --> amsterdam@pyladies.com

Nancy Irisarri Méndez

Giulia

Una Galyeva

PyLadies Amsterdam

Python Software Foundation Meetup Pro Network

Technology

Computer Programming

Python

Open Source

Open Source Python

Women in Technology

Artificial Intelligence

Machine Learning

Data Analytics

Data Mining

Data Visualization

Big Data

Data Science

Django

Python Web Development

Floriana Zefi is a Senior Machine Learning Scientist at Booking.com, where her work focuses on leveraging machine learning to protect customers, improve service delivery across the globe, and prevent fraud. She earned her Ph.D. in High-Energy Astrophysics from Ecole Polytechnique in France and has years of experience in data science within the banking sector.

Floriana Zefi

LLMs in Action: How Booking.com Scans, Detects, & Monitors Fake & Unsafe Content

Data Science using Python

Booking.com

Share

PyLadies Amsterdam

LLMs in Action: How Booking.com Scans, Detects, & Monitors Fake & Unsafe Content

PyLadies Amsterdam

Details

Members are also interested in