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Building Visual Search Engines with Kuba Cie?lik

The MLOps Blog

You can imagine yourself using your phone, and it recognizes you. All the mobile phones now have this functionality that they can recognize you based on the camera feed or the face camera, and essentially a similar thing we are trying to build for animals, where tracking animals becomes more important. Is this the situation?

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Deploying Large NLP Models: Infrastructure Cost Optimization

The MLOps Blog

This can be challenging, especially when you want to deploy them on a low-memory device such as a mobile phone. It goes without saying that my recommendation might not be the most ideal for your use case, and you can pick any of these approaches depending on the kind of problems you are dealing with.

NLP 115
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Reducing the cost of LLMs with quantization and efficient fine-tuning: how can businesses benefit from Generative AI with limited hardware?

deepsense.ai

Asymmetric mode, source: [link] Conversely, in symmetric mode, we pick the maximum absolute value between the smallest and largest values of the float range without a zero-point, resulting in both the float range and the quantized range being symmetric around zero.