OTel-LLM-8.3B-IT is a context-grounded telecom language model full-parameter fine-tuned on OTel telecommunications data. It is part of the OTel Family of Models, an open-source initiative to build reference AI resources for the global telecommunications sector. Across the core OTel LLM baselines, OTel fine-tuning improves context-grounded correctness over the base checkpoints by +3.7 to +10.0 percentage points. As of June 23, 2026, the released OTel models had more than 18 million downloads, and the Open Telco AI project had received 157+ pieces of media coverage worldwide. EssentialAI/rnj-1-instruct -> OTel-LLM full-parameter post-training -> farbodtavakkoli/OTel-LLM-8.3B-IT Standard errors are computed with bootstrap resampling (n=10) over the held-out OTel evaluation partition. LLM correctness is judged by GPT-4o mini using the retrieved context and reference answer. — LLM results measure context-grounded answer generation from retrieved context, not unrestricted context-free telecom QA. — Reported standard errors come from bootstrap resampling over the held-out evaluation partitions. — Answer quality depends on the retriever, reranker, context window, and prompt policy around…
Модальности:
Генерация текста
Области применения:
Диалог / чат RAG (поиск + генерация)
Задача: Генерация текста
Автор: farbodtavakkoli
Теги: gemma3_text, telecom, telecommunications, gsma, rag, full-parameter-fine-tuning, fine-tuned, conversational
Лайков: 4 | Загрузок: 770
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
