Open models, global networks: How AT&T and GSMA are accelerating innovation with Gemma

AT&T and GSMA have collaborated to build OTel, a family of open telecom-specific AI models fine-tuned on Gemma (Google's open-source model family). Trained on a specialized telco dataset curated by GSMA, operators, equipment vendors, and academia, the initiative produced 30 models across various sizes. Gemma-4-E4B-it achieved 91.74% accuracy — the highest among all tested architectures. The models use RAG-based training to reduce hallucinations, critical for regulated telecom environments. OTel has surpassed 18 million downloads and ranks among the top models on Open Telco Benchmarks, demonstrating that smaller domain-specific models can outperform larger general-purpose frontier models in specialized tasks like network configuration and self-healing systems.

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