Training Data

Three Steps of Machine Learning

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Three Steps of Machine Learning

Machine learning can be approximately equated to finding a functional function f related to specific inputs and expected outputs through statistical or inferential methods within data objects (as shown in Figure 1). Usually, we denote the input variable (feature) space as uppercase X and the output variable space as uppercase Y. Therefore, machine learning can … Read more

Intellectual Property Issues of AIGC: Algorithms, Training Data, and Prompts

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Intellectual Property Issues of AIGC: Algorithms, Training Data, and Prompts

The Definition of AIGC Content as “Works” The Definition of AIGC Content “Authors” – Mainstream AIGC User Agreements The Definition of AIGC Content “Authors” – Judicial and Other Realistic Attitudes Should the “Ideas” of Computer Programs Be Protected? Protection Against Unfair Competition for Algorithms Designing Protection Paths for AIGC Algorithms Legitimate Authorization of Training Data … Read more