Fine-Tuning an SLM for a Low-Resource Language

For now, based on my observations while observing Reuben’s Konkani LLM project from the sidelines, I’ve put together a guide outlining key considerations for creating datasets and fine-tuning models for low-resource languages:

1. low_resource_lang_ft/low_resource_lang_ft_01_start_here_20260603.md · John6666/knowledge_base_md_for_rag_1 at main
2. low_resource_lang_ft/low_resource_lang_ft_02_language_digital_diagnosis_20260603.md · John6666/knowledge_base_md_for_rag_1 at main
3. low_resource_lang_ft/low_resource_lang_ft_03_data_acquisition_routes_20260603.md · John6666/knowledge_base_md_for_rag_1 at main
4. low_resource_lang_ft/low_resource_lang_ft_04_validation_evaluation_governance_20260603.md · John6666/knowledge_base_md_for_rag_1 at main
5. low_resource_lang_ft/low_resource_lang_ft_05_finetuning_lifecycle_20260603.md · John6666/knowledge_base_md_for_rag_1 at main
6. low_resource_lang_ft/low_resource_lang_ft_06_case_studies_and_resource_shelves_20260603.md · John6666/knowledge_base_md_for_rag_1 at main
7. low_resource_lang_ft/low_resource_lang_ft_07_templates_and_checklists_20260603.md · John6666/knowledge_base_md_for_rag_1 at main