26/02/2024

Info session – Alliance for Language Technologies and Open-Source Foundation Model

Adra
The AI data Robotics Association
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Date - 5 March 2024 from 9:30 to 12:40 CET

The objective of this Information Day is to generate awareness about the forthcoming calls from the Alliance for Language Technologies and Open-Source Foundation Model, offering relevant stakeholders a platform to identify potential collaborators.

The advent of generative AI, exemplified by models like ChatGPT, represents a transformative moment in Language Technologies, having broad impact on  innovation.

These initiatives under Digital Europe seek to establish an ecosystem around large language and AI models in Europe, fostering increased autonomy for the utilization and sharing of European data.

The Information Day will furnish additional details about these calls, encompassing requirements, the potential benefits for your organization, and insights on the application process.

The event is orchestrated by the European Commission's Directorate-General for Communications Networks, Content, and Technology.

Throughout the dedicated Information Day, participants will have the opportunity to pose questions in real-time.

Agenda

  • 9:30-9:50 - Introduction by the EC
  • 9:50-10:40 - DEP Alliance for Language Technologies Topics + Q&A
  • 10:40-11:20 - DEP Open-Source Foundation Model + Q&A
  • 11:20-11:30 - Introduction to the Brokerage Platform
  • 11:30-12:30 - Online Pitch
  • 12:30-12:40 Conclusion

If you are interested in participating in the Online Pitch, please send an email to CNECT-ALT-FOUNDATION-DEP-INFO-DAY@ec.europa.eu to register.

More information

How to Connect

Meeting link: https://ecconf.webex.com/ecconf/j.php?MTID=mab9ea289571e6f6040c0407b57228aa3

Meeting number: 2745 047 2244

Password: RCpXGJp*547 (72794570 from phones)

Join by video system

Dial 27450472244@ecconf.webex.com

You can also dial 62.109.219.4 and enter your meeting number.

Join by phone

+32-262-00867 Belgium Toll

+352-2730-0072 Luxembourg Toll

Access code: 2745 047 2244