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Nvidia has announced its acceleration of Microsoft’s new Phi-3 Mini open language model with Nvidia TensorRT-LLM, an open-source library for optimizing large language model inference when running on Nvidia GPUs from PC to cloud.
The model has 3,8-billion parameters and was trained on 3,3-trillion tokens in only seven days on 512 Nvidia H100 Tensor Core GPUs. Developers working on autonomous robotics and embedded devices can learn to create and deploy generative AI through community-driven tutorials, like on Jetson AI Lab, and deploy Phi-3 on Nvidia Jetson.
Phi-3 can assist in cost- and resource-constrained use cases, especially for simpler tasks. The model can outperform some larger models on key language benchmarks while delivering results within latency requirements.
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