Scaling
Artificial Intelligence
Scaling MLOps for the enterprise with multi-tenant systems
Within the context of MLOps, the advantages of using a multi-tenant system are manifold. Machine learning engineers, data scientists, analysts, modelers, and other practitioners contributing to MLOps processes often have to perform similar...
Artificial Intelligence
Scaling audio-visual learning without labels
Researchers from MIT, the MIT-IBM Watson AI Lab, IBM Research, and elsewhere...
Artificial Intelligence
Breaking the scaling limits of analog computing
As machine-learning models develop into larger and more complex, they require faster...
Artificial Intelligence
Scaling laws for reward model overoptimization
In reinforcement learning from human feedback, it is not uncommon to optimize against a reward model trained to predict human preferences. Since the reward model is an imperfect proxy, optimizing its value an excessive...
Artificial Intelligence
Scaling Media Machine Learning at Netflix Introduction Infrastructure challenges and components Case study: scaling match cutting using the media ML infra Conclusion and Future Work
By Gustavo Carmo, Elliot Chow, Nagendra Kamath, Akshay Modi, Jason Ge, Wenbing Bai, Jackson de Campos, Lingyi Liu, Pablo Delgado, Meenakshi Jindal, Boris Chen, Vi Iyengar, Kelli Griggs, Amir Ziai, Prasanna Padmanabhan, and Hossein...
Artificial Intelligence
Scaling Media Machine Learning at Netflix Introduction Infrastructure challenges and components Case study: scaling match cutting using the media ML infra Conclusion and Future Work
By Gustavo Carmo, Elliot Chow, Nagendra Kamath, Akshay Modi, Jason Ge, Wenbing Bai, Jackson de Campos, Lingyi Liu, Pablo Delgado, Meenakshi Jindal, Boris Chen, Vi Iyengar, Kelli Griggs, Amir Ziai, Prasanna Padmanabhan, and Hossein...
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