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Assessment of Open-Source Large Language Models Tender - 104063555

The EUROPEAN SPACE RESEARCH AND TECHNOLOGY CENTRE has issued a Tender notice for the procurement of a Assessment of Open-Source Large Language Models within the Satcom Sector (Artes Fp 1a.128) Expro+ in the Netherlands. This Tender notice was published on 12 Jul 2024 and is scheduled to close on 27 Sep 2024, with an estimated Tender value of Refer Document. Interested bidders can access detailed Tender information, eligibility criteria, and complete bidding documents by referencing TOT Ref No. 104063555, while the tender notice number is 1-12446 and Registering on the platform.

Procurement Summary

Country: Netherlands

Summary: Assessment of Open-Source Large Language Models within the Satcom Sector (Artes Fp 1a.128) Expro+

Deadline: 27 Sep 2024

Posting Date: 12 Jul 2024

Other Information

Notice Type: Tender

TOT Ref.No.: 104063555

Document Ref. No.: 1-12446

Competition: ICB

Financier: Other Funding Agencies

Purchaser Ownership: Public

Tender Value: Refer Document

Purchaser's Detail

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Tender Details

Tenders are invited for Assessment of Open-Source Large Language Models within the Satcom Sector (Artes Fp 1a.128) Expro+
Price Range 200-500 KEURO
Artificial Intelligence-powered Natural Language Processing (NLP) models are revolutionising the way we operate and function withinour society. Large Language Models (LLMs) based on these technologies enable us to process and comprehend vast amounts of information quickly and accurately. This activity aims to generate a satcom-specific open-source LLM for use within the participating state satcom sector. The activity will include selection of the best open-source LLM to use as a starting point; enhancement of the base performance of the model by fine-tuning (i.e. training) with satcom domain-specific data; and comparison of its enhanced performance against state-of-the-art commercial models. Finally, the activity will generate recommendations and advice on how organisations and companies within the European satcom community can further train/fine-tune the model with their own proprietary data for their own (private) use

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