Model

Claude 3.5 Sonnet

Example input

[field area] e.g. Image Processing, financial data analysis 

[data] e g image matrix, spreadsheet, etc

Example output

Gaussian Distribution: Explanations, function and definitions of parameters were inferenced as below:
The Gaussian distribution is often used to model the intensity values of pixels in an image, especially when the pixel values are expected to be symmetrically distributed around a mean value.Probability Density Function (PDF):

f(x)= 2πσ 21 exp(− 2σ 2(x−μ) 2)
where:
μ is the mean.
σ is the standard deviation.
x is the pixel value.
NB: The equation is not rendered well on this platform but was well presented in the prompt inference.