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AI is more than GenAI
Practical AI: Machine Learning, Data Science, LLM
Parameterization is Key to Model Development
A machine learning model comprises both a function and its optimized parameters, which together enable accurate predictions through a process called inference. The iterative training of the function using example inputs and known outputs leads to the identification of the ideal parameters. This duality of function and parameters can create confusion regarding licensing, as different aspects may require different types of licenses, whether for code, data, or unique interpretations. Understanding this relationship is essential for navigating the complexities of model licensing in the evolving landscape of data science and machine learning.
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