NVIDIA的Nemotron 3 Embed 8B在LMEB和RTEB两个排行榜都拿了第一，适合做智能体长期记忆的检索。
NVIDIA发布Nemotron 3 Embed系列嵌入模型，8B版本在LMEB排行榜上位居第一，1B版本紧随其后排名第二。LMEB专门测试嵌入模型在长对话和记忆密集型任务中的检索能力，对需要跨会话保持上下文的智能体非常关键。此外，8B模型还以整体第一的成绩登顶RTEB基准，该基准评估真实世界场景下的检索准确性。
Another leaderboard win for Nemotron 3 Embed 👀 The 8B model takes #1 on LMEB, with the 1B model ri...
Another leaderboard win for Nemotron 3 Embed 👀 The 8B model takes #1 on LMEB, with the 1B model right behind it at #2 . LMEB tests whether embedding models can find the right details across long-running conversations and other memory-heavy tasks, useful for agents that need to remember context across sessions. NVIDIA AI @NVIDIAAI Today we released Nemotron 3 Embed 8B and it reached #1 overall on RTEB 🏆 RTEB benchmarks retrieval accuracy across real-world tasks. Better retrieval gives agents more relevant context, helping improve response accuracy. 🔗 View Quoted Tweet 💬 3 🔄 3 ❤️ 21 👀 2164 📊 5 ⚡