5 huhtikuun, 2024 @ 11:00 am – 1:00 pm

Have you ever pondered how to enhance or even transform your business with Large Language Models? Join LLMs in Business to explore the technology and techniques that can reshape the very essence of business. Come and be a part of our international LLMs in Business webinar on April 5th, 2024, from 11:00 to 13:00 Finnish time (10:00 – 12:00 Central European time). In this webinar, you’ll discover how Large Language Models (LLMs), the technique behind ChatGPT, wield the power to reshape the very fabric of business as we know it. In addition to gaining insights into the technologies behind LLMs, you will be engaged in a thought-provoking discussion on how to integrate external knowledge into LLMs to overcome their fundamental limitations related to accuracy, specificity, recency, and authenticity. The speakers will also present selected use cases demonstrating the opportunities and barriers in adopting LLMs. Prepare to be captivated by our lineup of speakers, luminaries at the forefront of innovation, more than ready to unravel the mysteries behind LLMs. The webinar is jointly organized by the Finnish AI Region (FAIR, EDIH) and the AI Hub of the Ulysseus European University.

Speakers of the Event:

PhD. Eugen Šlapak, Assistant Professor, Technical University of Kosice, Slovakia.
  • LLM applications beyond conventional chatbots: data processing, multimodal systems, iterative solution search.
Ari Heljakka, CEO, RootSignals.
  • The many barriers between PoCs and reliable automation: Adopt LLM Metrics Now or Suffer Later.
Umair Khan, Senior Researcher, Haaga-Helia.
  • Precise knowledge access in businesses using Large Language Models
Timo Kaski, Research Area Director and CSO Ulysseus Innovation Hub, Haaga-Helia.
  • Introduction to FAIR EDIH and its offerings to European SMEs.
The webinar will be hosted by Dr. Lili Aunimo, Principal Lecturer at Haaga-Helia University of Applied Sciences. Register to the event on our website at: https://www.lyyti.fi/reg/FAIRUlysseus_AI_hub_Webinar_1342

Tiedot

Järjestäjät

  • Ulysseus European University
  • Finnish AI Region

Online