DSC Europe 24 SCHEDULE

This hands-on tutorial will guide participants through the comprehensive evaluation of Retrieval-Augmented Generation (RAG) pipelines using MLflow and open source LLM models. Attendees will learn to implement and track sophisticated LLM-specific metrics, optimize RAG systems and manage experiments efficiently. The tutorial covers setting up MLflow, creating custom metrics, evaluating different building blocks of RAG pipelines and visualizing results.

MariaDB is an interesting, but a very complex beast. This workshop will walk you through the ins and outs of data breach search engines and other big data applications based on MariaDB allowing you to understand how, why, and when MySQL and MariaDB works the way it does.

This comprehensive tutorial takes participants on a journey through the fascinating evolution of recommendation systems, exploring the cutting-edge techniques that power today’s most sophisticated recommender engines. From simple heuristics to advanced deep learning models, attendees will gain hands-on experience with a wide range of algorithms and methodologies.
The tutorial is structured to cover the following key areas:
Foundational Heuristics: Understanding basic recommendation techniques
Collaborative Filtering: Exploring user-based and item-based approaches
Two-Tower Neural Networks: Diving into deep learning for recommendations
Large Language Models (LLMs): Harnessing the power of transformers for personalized suggestions
Participants will work with real-world datasets, implementing and comparing various recommendation algorithms using popular libraries and packages. By the end of the tutorial, attendees will have a solid understanding of the entire recommendation system pipeline, from data preprocessing to model deployment.
This hands-on session is designed for data scientists, machine learning engineers, and researchers interested in building state-of-the-art recommendation systems. Participants should have a basic understanding of Python programming and machine learning concepts.
Join us for an immersive experience that will equip you with the knowledge and skills to create powerful, personalized recommendation systems for a variety of applications.

During the tutorial we will explore the capabilities of this Azure AI Studio. This session is designed for developers eager to harness the potential of this platform for rapid AI prototyping and deployment. We will begin by examining the platform’s core features and the diverse range of available models. The tutorial will include hands-on demonstrations of quick prototyping projects, such as creating a chatbot using your own data, generating images, recognizing the status of electricity meters, and describing pictures. By the end of this session, participants will have a solid understanding of how to leverage Azure AI Studio to assess the potential of the planned AI solutions.