Konstantinos Sidiropoulos
Software Engineer, Test and Infrastructure Capability Lead, Agile Actors
Konstantinos Sidiropoulos is a seasoned Software Engineer and Test & Infrastructure Chapter Lead with extensive experience in the information technology and services industry. With expertise in Test Automation and DevOps, he has a proven track record of implementing innovative testing and infrastructure solutions. He holds a Master of Science (MS) in Information Systems from the Athens University of Economics and Business, as well as an MSc in Electrical and Computer Engineering from the National Technical University of Athens. Konstantinos has worked across various sectors, including lotteries, fintech, telecom, and data analytics, contributing to startups, scaleups, and large corporations alike.
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Upcoming Sessions
A.I. Summit
March, 13, 2025
13:15 -
13:45 EEST
30 MINS
The Evolution of Programming Languages with AI
Beyond the Hype: How Does RAGAS Measure Real LLM Impact?
In the rapidly evolving landscape of AI, separating genuine advancements from the noise is crucial for both industrial practitioners and academic researchers. The non-deterministic nature of LLM-driven applications amplifies this challenge, leading to difficulty in applying common software testing practices and thereby quantifying application performance.
This session aims to offer insight into mitigating these issues by delving into RAGAS (Real-World Application and Generalization Assessment Score), a novel framework designed to quantitatively measure the performance of LLM-driven applications. Drawing from well-established practices in the software testing world, it demonstrates how RAGAS can guide the development and deployment of LLM technologies with tangible benefits. A short demo is also included as a practical demonstration of how RAGAS's ability to evaluate LLM effectiveness can be translated into real-world impact.
This session aims to offer insight into mitigating these issues by delving into RAGAS (Real-World Application and Generalization Assessment Score), a novel framework designed to quantitatively measure the performance of LLM-driven applications. Drawing from well-established practices in the software testing world, it demonstrates how RAGAS can guide the development and deployment of LLM technologies with tangible benefits. A short demo is also included as a practical demonstration of how RAGAS's ability to evaluate LLM effectiveness can be translated into real-world impact.
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