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Nvidia woos wary Europeans with more open weights models

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ai and ml

New embedding, parsing, and reranking models promise smarter agentic RAG workflows

Nvidia hopes to capitalize on European sovereign AI demand by unloading a slew of new open weights models spanning chatbots, healthcare, and robotics.

The major model devs have the resources to build highly capable models from scratch. But most enterprises don't, and have instead been forced to fine tune open weights models from the likes of Mistral or H Company using their own datasets.

At GTC Berlin, Nvidia unveiled its latest additions to its open weights model library with refreshed Nemotron Retriever embedding and Alpamayo autonomous vehicle models.

The point of embedding models

While by no means the sexiest subclass of models out there, embedding models are some of the more useful ones for enterprise apps.…

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