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The Collective Tuning Initiative is a community-driven initiative started by Grigori Fursin to develop free and open-source research tools with a unified API for collaborative characterization, optimization and co-design of computer systems. They enable sharing of benchmarks, data sets and optimization cases from the community in the Collective ...
Social tuning, the process whereby people adopt other people's attitudes, is cited by social psychologists to demonstrate an important lack of people's conscious control over their actions. The process of social tuning is particularly powerful in situations where one person wants to be liked or accepted by another person or group.
Participates in group play and shared activities with other children; suggests imaginative and elaborate play ideas. Shows affection and caring towards others especially those "below" them or in pain; Generally subservient to parent or caregiver requests. Needs comfort and reassurance from adults but is less open to comfort.
In machine learning, hyperparameter optimization [1] or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process, which must be configured before the process starts.
Self-tuning metaheuristics have emerged as a significant advancement in the field of optimization algorithms in recent years, since fine tuning can be a very long and difficult process. [3] These algorithms differentiate themselves by their ability to autonomously adjust their parameters in response to the problem at hand, enhancing efficiency ...
Data centers use traffic shaping to maintain service level agreements for the variety of applications and the many tenants hosted as they all share the same physical network. [ 9 ] Audio Video Bridging includes an integral traffic-shaping provision defined in IEEE 802.1Qav.
The Stanford Institute for Human-Centered Artificial Intelligence's (HAI) Center for Research on Foundation Models (CRFM) coined the term "foundation model" in August 2021 [16] to mean "any model that is trained on broad data (generally using self-supervision at scale) that can be adapted (e.g., fine-tuned) to a wide range of downstream tasks". [17]
Auto-Tune is audio processor software released on September 19, 1997, by the American company Antares Audio Technologies. [1] [4] It uses a proprietary device to measure and correct pitch in music. [5]