Infrastructure for Fine-tuning Pre-trained Large Language Models
End date: 30.05.2026
Duration: 17.5 months
Amount of EU funding:
BGN 437,446.38 (100%)
Main goal
To develop a freely accessible infrastructure for the selection and pre-processing of large datasets for Bulgarian as well as tailored data for specific industries and fine-tuning suitable freely available large language models for specific purposes.
Selection and pre-processing of large datasets for Bulgarian as well as tailored data for particular industries and fine-tuning suitable freely available large language models for specific purposes.
Specification of the criteria for their evaluation, comparison and selection of large language models.
Developing a component of the Infrastructure for the collection, filtering, anonymisation and reduplication of large, diverse and high quality text data for Bulgarian.
Developing a component of the Infrastructure for the fine-tuning of pre-trained large language models for Bulgarian.
Developing a component of the Infrastructure for evaluating the fine-tuning of large language models for Bulgarian.
Reaching Technology Readiness Level 7 of the Infrastructure for Fine-Tuning Pre-Trained Large Language Models.
Open access to the results of the project for the industry, the academia and the wide public.
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