Teaching Nemotron Greek: Mining a Corpus, Adapting Retrieval, and Grounding Generation for Modern Greek across Specialist Domains

Researchers have successfully adapted NVIDIA's Nemotron retrieval models for Modern Greek, a language previously unsupported by the technology. This development is significant, as Modern Greek is crucial for retrieval-augmented generation in various specialist domains, including legal, energy, financial, and medical applications. The adaptation involved mining a corpus, generating synthetic supervision, training retrieval models, and reranking results. This end-to-end approach enables the use of Nemotron in Greek-language contexts, which is particularly important given the language's absence from major multilingual retrieval benchmarks¹. The implications of this research extend beyond the technical realm, as state-aligned activity involving NVIDIA shifts the threat model from criminal to geopolitical, requiring a different approach to security. This matters to practitioners, as it highlights the need to consider the geopolitical dimensions of language support in emerging technologies.