Quarkus Track at Red Hat Summit: Connect Zurich 2024 #38041
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Event Description: With technology constantly evolving, it’s on all of us to know what’s happening now and help shape what’s coming next. Red Hat Summit: Connect brings you to the forefront of that evolution, so you can turn knowledge into innovation.
This event will provide the opportunity to join your peers to explore the latest Red Hat technologies, collaborate with industry leaders, and learn how the future of open source will impact your organisation.
Date: January 17th, 2024
Location: Zurich, Switzerland : The Hall Zurich
Event Type: In Person
https://www.redhat.com/en/summit/connect/emea/zurich-2023
CRAFTING INTELLIGENT APPLICATIONS WITH QUARKUS (Track 4)
Title: Introduction to Quarkus/LangChain4j
Speakers: Dimtris Andreadis
Time: 14:00-14:30
Abstract: Learn the basics of Quarkus and LangChain4j
Title: Empowering Enterprise Applications: A Practical Workshop on Infusing AI with Quarkus Unveiling the Potential - Integrating ChatGPT with Quarkus
Speakers: Clement Escoffier, Codrin Bucur, Lize Raes, & Dimitris Andreadis
Time: 14:30-15:00
Abstract: Experience the hype: Learn to integrate ChatGPT into a Quarkus application seamlessly. Designing Interactions: Explore strategies for crafting meaningful interactions with large language models. AI Empowerment: Discover tools and techniques for providing robust control over AI within your applications.
Title: Augmented Generation - Extending Hosted LLMs with Local Documents
Speakers: Clement Escoffier, Codrin Bucur, Lize Raes, & Dimitris Andreadis
Time: 15:00-15:30
Abstract: Shift gears: Explore another LLM and extend its capabilities using local documents. Retrieval Augmented Generation: Delve into one of the core patterns in AI usage, understanding the synergy between your data and LLM interactions.
Title: OpenShift AI - Training and Hosting Your Own Model Part I
Speakers: Clement Escoffier, Codrin Bucur, Lize Raes, & Dimitris Andreadis
Time: 16:00-16:30
Abstract: Harness the power of OpenShift AI and its MLOps capabilities: Learn how it facilitates the training and hosting of custom AI models (30 min).
Title: OpenShift AI - Training and Hosting Your Own Model Part II
Speakers: Clement Escoffier, Codrin Bucur, Lize Raes, & Dimitris Andreadis
Time: 16:30-17:00
Abstract: Practical Integration: Witness the integration of a custom model into a Quarkus application to complete the end-to-end narrative (30 min).
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