Sotirios Tzamaras

Sotirios Tzamaras

Data Scientist @ Netcompany-intrasoft

"Sotiris Tzamaras is a Data Engineer/ Data Scientist at Netcompany-Intrasoft. Sotiris started his journey in the field of computer engineering when he graduated with a B.Sc. in Computer Engineering from the Department of Informatics and Telecommunications at the University of Ioannina in Greece. He later expanded his expertise with a master's degree in Information Technology, specializing in Data Science and Artificial Intelligence, from the University of Grenoble in France.

Since 2024, Sotiris has been working full-time at Netcompany-Intrasoft, where he contributes to projects involving machine learning methods and predictive analytics, as well as playing an active role in developing robust Generative AI solutions such as Retrieval-Augmented Generation (RAG) pipelines. Outside of work, he is passionate about travel, robotics, and smart home gadgets

All Sessions by Sotirios Tzamaras

12:25 - 13:25

LLM vs RAG – the challenges and opportunities in real life use cases on real life problem

Workshop Room 1

Saturday 23.Nov / 12:25

THEME: AI

In this 50-minute workshop participants will delve into the intricacies of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). The session will explore how these advanced AI technologies are transforming various industries by enhancing natural language understanding and generation.

Attendees will gain insights into the fundamental differences between LLMs and RAG, their respective strengths, and the unique challenges they present when applied to real-world scenarios. The workshop will also highlight practical applications and case studies, showcasing how businesses and researchers are leveraging LLMs and RAG to solve complex problems.

Participants will have the opportunity to engage in interactive discussions, addressing common obstacles such as data privacy, model interpretability, and scalability. By the end of the session, attendees will be equipped with a deeper understanding of how to harness the potential of these cutting-edge technologies to drive innovation and efficiency in their own projects.>/p>

#AI #LLM #RAG 

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