archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

Athena ILSP/Archimedes NLP Theme Talk: Jais and Jais-chat

Dates
2024-03-07 16:00 - 18:00
Venue
Zampolli

 

ILSP & Archimedes NLP Theme Talk, Thursday 7 March, 16:00 (Greek time)
Speaker: Preslav Nakov
(https://mbzuai.ac.ae/study/faculty/preslav-nakov/)
Title: "Jais and Jais-chat: Building the World's Best Open Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models"

Room: Zampolli, Athena Main Building (6 Artemidos str., Marousi, ground floor)
and virtually via MS Teams:

https://teams.microsoft.com/l/meetup-join/19%3ameeting_NDgzMjM1MTQtYWFiMS00ZDk4LTlhYmItOTg1NDlhYWRjNTg3%40thread.v2/0?context=%7b%22Tid%22%3a%226ae07702-c5f7-4f38-9b87-acad62a75d93%22%2c%22Oid%22%3a%22735f6987-4242-47ec-98d6-f1eb55fb371f%22%7d

  • Meeting ID: 364 885 596 720
  • Passcode: jbYNHY

Abstract:

I will discuss Jais and Jais-chat, two state-of-the-art Arabic-centric foundation and instruction-tuned open generative large language models (LLMs). The models are based on the GPT-3 decoder-only architecture and are pretrained on a mixture of Arabic and English texts, including source code in various programming languages. The models demonstrate better knowledge and reasoning capabilities in Arabic than previous open Arabic and multilingual models by a sizable margin, based on extensive evaluation. Moreover, they are competitive in English compared to English-centric open models of similar size, despite being trained on much less English data. I will discuss the training, the tuning, the safety alignment, and the evaluation, as well as the lessons we learned.

Speaker Bio:

Preslav Nakov is Professor and Department Chair for NLP at the Mohamed bin Zayed University of Artificial Intelligence. Previously, he was Principal Scientist at the Qatar Computing Research Institute, HBKU, where he led the Tanbih mega-project, developed in collaboration with MIT, which aims to limit the impact of "fake news", propaganda and media bias by making users aware of what they are reading, thus promoting media literacy and critical thinking. He received his PhD degree in Computer Science from the University of California at Berkeley, supported by a Fulbright grant. He is Chair-Elect of the European Chapter of the Association for Computational Linguistics (EACL), Secretary of ACL SIGSLAV, and Secretary of the Truth and Trust Online board of trustees. Formerly, he was PC chair of ACL 2022, and President of ACL SIGLEX. He is also member of the editorial board of several journals including Computational Linguistics, TACL, ACM TOIS, IEEE TASL, IEEE TAC, CS&L, NLE, AI Communications, and Frontiers in AI. He authored a Morgan & Claypool book on Semantic Relations between Nominals, two books on computer algorithms, and 250+ research papers. He received a Best Paper Award at ACM WebSci'2022, a Best Long Paper Award at CIKM'2020, a Best Demo Paper Award (Honorable Mention) at ACL'2020, a Best Task Paper Award (Honorable Mention) at SemEval'2020, a Best Poster Award at SocInfo'2019, and the Young Researcher Award at RANLP’2011. He was also the first to receive the Bulgarian President's John Atanasoff award, named after the inventor of the first automatic electronic digital computer. His research was featured by over 100 news outlets, including Reuters, Forbes, Financial Times, CNN, Boston Globe, Aljazeera, DefenseOne, Business Insider, MIT Technology Review, Science Daily, Popular Science, Fast Company, The Register, WIRED, and Engadget, among others.

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Vision

To position Greece as a leading player in AI and Data Science

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Mission

To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

ARCHIMEDES IMPACT

Figures as of October 2026

Highlights will be added soon.

 

NEWS

 
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Η εκπαίδευση στην εποχή της Τεχνητής Νοημοσύνης: 1η επιμορφωτική συνάντηση στο 2ο Πρότυπο Γυμνάσιο Αθηνών (GR/EN)

Η Ερευνητική Μονάδα «Αρχιμήδης» του ΕΚ «Αθηνά» συμμετείχε στην πρώτη επιμορφωτική συνάντηση για εκπαιδευτικούς με θέμα «Η εκπαίδευση στην εποχή της Τεχνητής Νοημοσύνης», στο 2ο Πρότυπο Γυμνάσιο Αθηνών. Το κείμενο είναι διαθέσιμο στα ελληνικά και στα αγγλικά (English version below).

Archimedes at NeurIPS 2026

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Archimedes at ECCV 2026

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Archimedes members presented five papers at the European Conference on Computer Vision (ECCV 2026), held on 8–12 September 2026 in Malmö, Sweden: four in the main conference and one oral presentation at a workshop. Archimedes researchers also helped co-organize two workshops.

Archimedes at Greeks in AI 2026

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Archimedes took part in Greeks in AI 2026, the annual symposium that brings together distinguished Greek AI scientists from around the world to exchange ideas, share their work and strengthen connections across the global AI community. The symposium was held on 15–17 July 2026 at the Eugenides Foundation in Athens.

 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

Greece 2.0 – Funded by the European Union – NextGenerationEU

 

 

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