This thesis investigates the application of MLOps in the Cognitive Cloud Continuum by exploiting both empirical methodologies and practical applications in the ...
Nov 14, 2022 · The main goal of this thesis is to study the most common approaches when developing ML-based software in the COCLCON.
Nov 21, 2022 · The goal of the research is threefold: (RQ1) to analyze which MLOps tools and platforms can be used in the Cognitive Cloud Continuum, (RQ2) to ...
Background. Since the rise of Machine Learning, the automation of software development has been a desired feature. MLOps is targeted to have the same impact ...
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May 31, 2023 · Our MLOps continuum spans from Edge to Cloud, satisfying the platform needs of various optimization and management techniques of LLM deployments.
Missing: Cognitive | Show results with:Cognitive
Aug 28, 2024 · This document discusses techniques for implementing and automating continuous integration (CI), continuous delivery (CD), and continuous training (CT) for ...
Missing: Continuum. | Show results with:Continuum.
May 11, 2023 · AI is a key driver for innovation in cloud capabilities. • Ease of development can lead to inadvertent oversight of privacy and compliance.
Jul 11, 2022 · Cognitive Cloud has drawn increasing attention from practitioners , academics, and funding agencies and has been adopted progressively.
Apr 29, 2024 · Comprised of five groundbreaking projects, this cluster is set to revolutionise how we perceive and harness intelligence across the computing continuum.
Missing: MLOps | Show results with:MLOps
Aug 29, 2023 · In this work, we propose our vision for the development of the MLOps pipeline by showing what to keep into account when choosing the tools for each step of a ...