AI agents have advanced to tackle multi-step problems, generate production-level code, and serve as versatile assistants. To optimize their potential, they require advanced reasoning models that are cost-effective. The NVIDIA Nemotron family enhances existing models for improved accuracy and efficiency using proprietary synthetic datasets.
The recently launched Llama Nemotron Super 48B v1.5 boasts significant advancements in reasoning and agent capabilities, excelling in tasks like math, coding, and chat. It has climbed to the top of the Artificial Analysis Intelligence Index leaderboard, outperforming competitors across various benchmarks, reaffirming its status in the 70-billion parameter category.
The Llama Nemotron Super v1.5 is built with an open synthetic dataset, enabling transparency and confidence for developers. Its post-training pipeline incorporates advanced techniques such as reinforcement learning for enhanced performance. Soon accessible as an NVIDIA NIM microservice, it promises efficient deployment for developers seeking high-performing AI solutions. Try it today on build.nvidia.com or Hugging Face.
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