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SUMMARY:PHAROS Training Series - Course 9 "RAG End-to-End: Architecture\, 
 Retrieval\, Generation and Evaluation"
DTSTART;VALUE=DATE-TIME:20260707T080000Z
DTEND;VALUE=DATE-TIME:20260707T121500Z
DTSTAMP;VALUE=DATE-TIME:20260815T011336Z
UID:indico-event-213@events.grnet.gr
DESCRIPTION:\n\nPHAROS AI Factory announces the 9th Course of its Training
  Series\, under the title "RAG End-to-End: Architecture\, Retrieval\, Gene
 ration and Evaluation"\, under the topic AI4LanguageCulture\, held online
  via Zoom.  \n\nDate: July 7th\, 2026\, at 11:00 EEST \n\nLocation: On
 line via Zoom\n\nPresentation Language: Greek\n\nAudience:  Machine Learn
 ing Engineers\, AI Engineers\, Data Scientists\, Academic Researchers\, La
 nguage and Culture Experts  \n\nPrerequisites: Basic Python knowledge \n
 \nLearning Objectives: \n\n\n	Explain the core principles and architectur
 e of Retrieval-Augmented Generation systems.\n	Understand why RAG improves
  factuality\, grounding\, transparency and access to external knowledge.\n
 	Describe the main RAG pipeline stages\, from ingestion and preprocessing 
 to retrieval and response generation.\n	Identify design choices for chunki
 ng\, embeddings\, vector storage\, retrieval\, prompting and answer ground
 ing.\n	Evaluate retrieval quality\, generation quality and end-to-end RAG 
 behaviour.\n\n\nLearning Outcomes: \n\n\nAfter completing the course\, pa
 rticipants will have: \n\n\n\n\n	\n	A clear understanding of the main com
 ponents and design paradigms of RAG systems. \n	\n\n\n\n\n\n	\n	Practical
  familiarity with document preparation\, chunking\, embedding generation\,
  vector indexing and similarity-based retrieval. \n	\n\n\n\n\n\n	\n	Han
 ds-on experience in constructing a working RAG pipeline using Python and c
 ontemporary tools. \n	\n\n\n\n\n\n	\n	The ability to connect retrieved ev
 idence with LLM-based answer generation in a grounded and transparent mann
 er. \n	\n\n\n\n\n\n	\n	Familiarity with evaluation approaches for retriev
 al\, generation\, faithfulness\, groundedness and overall RAG performanc
 e. \n	\n\n\n\n\n\n	\n	An understanding of how RAG can support Greek-langu
 age applications\, including public-service information retrieval and conv
 ersational assistance. \n	\n\n\n\n\n\n	\n	The skills to analyse\, evalu
 ate and improve RAG systems for real-world deployment \n	\n\n\n\nInstruct
 ors' profiles:\n\n\n	George Drosatos\, ATHENA RC\n\n\nGeorge Drosatos is 
 a Principal Researcher\, Researcher Grade B\, at the Institute for Languag
 e and Speech Processing of the Athena Research Center\, with expertise in 
 privacy technologies\, information retrieval\, content analysis\, informat
 ion security and biomedical informatics. He holds a Diploma\, MSc and PhD 
 in Electrical and Computer Engineering from Democritus University of Thrac
 e. He has participated in more than 20 national and European research proj
 ects and has extensive teaching experience in undergraduate and postgradua
 te courses at Greek and international universities. His research focuses o
 n privacy-enhancing technologies\, secure data analysis\, trustworthy AI a
 nd data-driven systems. He has authored more than 76 publications\, with o
 ver 1\,800 citations\, h-index 23 and i10-index 37. He has also served as 
 Guest Editor in multiple Special Issues and as Secretary General of EAMBES
  from 2023 to 2025. \n\nMore information: https://www.drosatos.info.\n\n\n
 	Sotiris Gyftopoulos\, ATHENA RC\n\n\nSotiris Gyftopoulos is a Scientific
  Associate at the Institute for Language and Speech Processing (ILSP) of t
 he Athena Research Center. He holds a degree in Computer Science from the 
 University of Crete and a PhD from the Department of Electrical and Comput
 er Engineering at Democritus University of Thrace\, with his doctoral rese
 arch focusing on influence analysis in social networks. His expertise lies
  at the intersection of Natural Language Processing (NLP)\, statistical da
 ta analysis and social network modelling. With extensive experience in nat
 ional and European research projects\, Dr Gyftopoulos has also taught grad
 uate-level courses on data analysis and database systems. His scientific w
 ork has been published in international journals and conference proceeding
 s\, with emphasis on information diffusion and influence analysis through 
 stochastic processes and advanced machine learning techniques.\n\n \n\nNo
 te: Please enter your institutional/corporate email when registering.\n\nh
 ttps://events.grnet.gr/event/213/
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