You train the model once, but you run it every day. Making sure your model has business context and guardrails to guarantee reliability is more valuable than fussing over LLMs. We’re years into the ...

AI inference uses trained data to enable models to make deductions and decisions. Effective AI inference results in quicker and more accurate model responses. Evaluating AI inference focuses on speed, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. It is an exciting time for researchers working to link proteins to their functions.

I compiled and ran Example YOLOv8-CPP-Inference in my own environment, and found that everything worked fine when using CPU for inference, but when using GPU for inference, the results became strange.

As of Sunday in the European Union, the bloc’s regulators can ban the use of AI systems they deem to pose “unacceptable risk” or harm. February 2 is the first compliance deadline for the EU’s AI Act, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. We are still only at the beginning of this AI rollout, where the training of models is still ...

Abstract: Graph neural networks (GNNs) have become a powerful tool for processing and learning graph data. However, due to the existence of data silos, the privacy of data and the processing result is ...

As AI continues to revolutionize industries, new workloads, like generative AI, inspire new use cases, the demand for efficient and scalable AI-based solutions has never been greater. While training ...