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NVIDIA Nemotron 3.5 models boost AI agent efficiency with multimodal retrieval

By PulseAugur Editorial · [1 sources] ·

NVIDIA has released a suite of new retrieval models designed to enhance the efficiency and accuracy of AI agents. The Nemotron 3.5 collection includes models for embedding, reranking, and document parsing, capable of processing both text and visual information. These models aim to reduce the number of inference tokens agents need to consume by improving the quality and relevance of retrieved evidence, thereby lowering operational costs and increasing task success rates. AI

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Read on Hugging Face Blog →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

NVIDIA Nemotron 3.5 models boost AI agent efficiency with multimodal retrieval

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COVERAGE [1]

  1. Hugging Face Blog TIER_1 English(EN) ·

    NVIDIA Nemotron 3.5 Embed, Rerank, and Parse: Advancing Agents with World-Class Retrieval Models

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