DIGITAL-2024-AI-06-LANGUAGE-02
Alliance for Language Technologies (CSA) -
Call text (as on F&T portal)
View on F&T portalDeliverables
- An improved EU-wide digital infrastructure for Language Technologies.
- A strong community with the establishment of a coordination framework for the different stakeholders (e.g., Member States and industry) around relevant European, national and private initiatives for large language models.
Through federating Member States efforts, this action will directly contribute to preserving the linguistic and cultural diversity in Europe while effectively implementing the European Common Data Infrastructure and Service MCP’s objectives in the area of language technologies. By providing the necessary data and model adaptation capacities, the action will have a strong impact on the deployment of large language foundation models and their applications such as generative AI. This federated effort will be established around two work strands.
Second work strand - Ecosystem
The second work strand will support the coordination of a European Language Technologies ecosystem. This activity will bring together public and private organisations to provide infrastructure and support to developers and users of large language models, especially SMEs.
Scope:The infrastructure will act as advisory point, offer awareness raising and community building. It will support SMEs to onboard the large language models in their production workflows. The work will be carried out in close collaboration with national initiatives, the Data Spaces, the AI on demand platform, Testing and Experimentation Facilities, Digital Innovation Hubs, the EuroHPC Joint Undertaking’s supercomputing facilities and in synergy with the open-source foundation model action. The consortium that will implement this action should be composed by representatives of Member States.
News flashes
For information on the evaluations results of this call we invite you to consult the Flash call info (evaluation results) in the following link.
For information on the evaluations results of this call we invite you to consult the Flash call info (evaluation results) in the following link.
Please note that the call document has been amended to include a minor update under topic DIGITAL-2024-AI-06-FINETUNE (page 15 and page 25). It is to be noted that this update DOES NOT modify in any way the topic conditions, the eligibility or evaluation criteria and it is only relevant to this topic.
Please note that the call document has been amended to include a minor update under topic DIGITAL-2024-AI-06-FINETUNE (page 15 and page 25). It is to be noted that this update DOES NOT modify in any way the topic conditions, the eligibility or evaluation criteria and it is only relevant to this topic.
Opening date: 2024-02-29 (2 years ago)
Closing date: 2024-05-29 (2 years ago)
Procedure: single-stage
Budget: 4,000,000
Expected grants: 0
This call topic has been appended 6 times by the EC with news.
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2024-07-31
for information on the evaluations resul... -
2024-07-31
for information on the evaluations resul... -
2024-05-21
please note that the call document has b... -
2024-05-21
please note that the call document has b... -
2024-02-29
the submission session is now available... -
2024-02-29
the submission session is now available...
DIGITAL-2024-AI-06
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- 2025-07-01_03-20-16
- 2025-02-11_03-20-10
- 2024-11-23_03-20-11
- 2024-09-30_21-21-12
- 2024-07-04_15-02-40
- 2024-03-30_14-26-58
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Timeline
Grant agreement signed · 29 Jan 2025 (1 year ago)
All expected milestones for this call have passed.
Call opens
29 Feb 2024
Call closes
29 May 2024
Work programme published
30 Sep 2024
Call published
30 Sep 2024
Outcome expected
29 Oct 2024 · est.
Grant agreement signed
29 Jan 2025 · est.
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Call opens
29 Feb 2024 · 2 years ago
Submissions can be made from this date.
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Call closes
29 May 2024 · 2 years ago
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Work programme published
30 Sep 2024 · 2 years ago
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Call published
30 Sep 2024 · 2 years ago
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Outcome expected Estimated
29 Oct 2024 · 1 year ago
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Grant agreement signed Estimated
29 Jan 2025 · 1 year ago
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