Can you explain how optimization works in AI?
Sure! Optimization in AI involves adjusting parameters to improve performance on tasks like prediction or classification.
What are some common optimization algorithms used in AI?
Some common algorithms include Gradient Descent, Genetic Algorithms, and Simulated Annealing.
How does Gradient Descent specifically work?
Gradient Descent minimizes a function by iteratively moving towards the steepest descent, adjusting parameters based on the gradient.
Are there any challenges with optimization in AI?
Yes, challenges include local minima, overfitting, and the computational cost of finding optimal solutions.
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