Researchers have accelerated the performance of a large language model, Qwen3-8B Agent, on Intel's Core Ultra hardware. They achieved this by using depth-pruned draft models, which reduce the computational requirements of the model without significantly affecting its accuracy. The team claims that this approach can lead to faster and more efficient processing of complex AI tasks. --- Why it matters: This matters for engineers working with large language models, as it shows a potential way to improve performance on specific hardware platforms without sacrificing accuracy. Source: https://huggingface.co/blog/intel-qwen3-agent