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@PyTorch

Need to accelerate inference for math problem solving? Large language models can solve challenging math problems. However, making them work efficiently at scale requires the right serving stack, quantization strategy, and decoding methods—often spread across different tools. This @nvidia blog post shows how to build a fast, reproducible inference pipeline with the NVIDIA NeMo-Skills library to manage NVIDIA TensorRT-LLM. 🔗https://t.co/OVfQSEstfj #PyTorch #OpenSourceAI #AI #Inference #Innovation

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