Essays about: "MLOps"
Showing result 6 - 10 of 11 essays containing the word MLOps.
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6. Faster Reading with DuckDB and Arrow Flight on Hopsworks : Benchmark and Performance Evaluation of Offline Feature Stores
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Over the last few years, Machine Learning has become a huge field with “Big Tech” companies sharing their experiences building machine learning infrastructure. Feature Stores, used as centralized data repositories for machine learning features, are seen as a central component to operational and scalable machine learning. READ MORE
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7. An Empirical Study on AI Workflow Automation for Positioning
University essay from Linköpings universitet/Programvara och systemAbstract : The maturing capabilities of Artificial Intelligence (AI) and Machine Learning (ML) have resulted in increased attention in research and development on adopting AI and ML in 5G and future networks. With the increased maturity, the usage of AI/ML models in production is becoming more widespread, and maintaining these systems is more complex and likely to incur technical debt when compared to standard software. READ MORE
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8. An Open-Source Framework for Large-Scale ML Model Serving
University essay from Uppsala universitet/Avdelningen för beräkningsvetenskapAbstract : The machine learning (ML) industry has taken great strides forward and is today facing new challenges. Many more models are developed, used and served within the industry. Datasets that models are trained on, are constantly changing. READ MORE
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9. Evaluation of MLOps Tools for Kubernetes : A Rudimentary Comparison Between Open Source Kubeflow, Pachyderm and Polyaxon
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : MLOps and Kubernetes are two major components of the modern-day information technology landscape, and their impact on the field is likely to grow even stronger in the near future. As a multitude of tools have been developed for the purpose of facilitating effortless creation of cloud native MLOps solutions, many of them have been designed, to varying degrees, to integrate with the Kubernetes system. READ MORE
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10. Increasing Reproducibility Through Provenance, Transparency and Reusability in a Cloud-Native Application for Collaborative Machine Learning
University essay from Uppsala universitet/Avdelningen för datorteknikAbstract : The purpose of this thesis paper was to develop new features in the cloud-native and open-source machine learning platform STACKn, aiming to strengthen the platform's support for conducting reproducible machine learning experiments through provenance, transparency and reusability. Adhering to the definition of reproducibility as the ability of independent researchers to exactly duplicate scientific results with the same material as in the original experiment, two concepts were explored as alternatives for this specific goal: 1) Increased support for standardized textual documentation of machine learning models and their corresponding datasets; and 2) Increased support for provenance to track the lineage of machine learning models by making code, data and metadata readily available and stored for future reference. READ MORE
