Section 19.6.5 noted that the output of the logistic function could be interpreted as a probability p assigned by the model to the proposition that f(x)=1; the probability that f(x)=0 is therefore 1 – p. Write down the probability p as a function of x and calculate the derivative of log p with respect to each weight wi. Repeat the process for log(1-p). These calculations give a learning rule for minimizing the negative-log-likelihood loss function for a probabilistic hypothesis. Comment on any resemblance to other learning rules in the chapter.
Follow the attach document to complete this work. Questions: 1. What is Generative AI and how is it similar/different to
Follow the attach document to complete this work. Questions: 1. What is Generative AI and how is it similar/different to Traditional AI? 2. Do you believe that work created by Generative AI (e.g. ChatGPT) is comparable in quality to human created content? What challenges and opportunities does Generative AI pose to