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An LLM Query Understanding Service
LLMs turn query understanding from complex, multi-month project to days
So in addition to the above, I’ve added a persistent volume claim to store model data, mounted to huggingface’s cache: You’ll notice in the deployment the reference to these, mounted to hugging face’s directories: See if the pod is being allocated correctly, watch kuberenetes do its thing (first time you run this with autopilot, it’ll take a while to spin up the new GPU node)
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