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1. Consider the following algorithm: for ( i = 1 ; i <= 1 . 5 n ; i++) cout << i ; for ( i = n ; i >= 1 ; i - - ) cout << i ; (a) What is the output when n = 2, n = 4, and n = 6? (b) What is the time complexity T(n)? You may assume that the input n is divisible by 2.
2579Consider the following algorithm: j = 1 ; while ( j <= n/2) { i = 1 ; while ( i <= j ) { cout << j << i ; i++; } j++; } (a) What is the output when n = 6, n = 8, and n = 10? (b) What is the time complexity T(n)? You may assume that the input n is divisible by 2.
1 5351Consider the following algorithm: for ( i = 2 ; i <= n ; i++) { for ( j = 0 ; j <= n) { cout << i << j ; j = j + floor(n/4) ; } } (a) What is the output when n = 4 (b) What is the time complexity T(n). You may assume that n is divisible 4.
1713Consider the following algorithm, where the array A is indexed 1 through n: int add_them ( int n , int A[ ] ) { index i , j , k ; j = 0 ; for ( i = 1 ; i <= n ; i++) j = j + A[i] ; k = 1 ; for ( i = 1 ; i <= n ; i++) k = k + k ; return j + k ; } (a) If n = 5 and the array A contains 2, 5, 3, 7, and 8, what is returned? (b) What is the time complexity T(n) of the algorithm?
2406Give an algorithm for the following problem. Given a list of n distinct positive integers, partition the list into two sublists, each of size n/2, such that the difference between the sums of the integers in the two sublists is minimized. You may assume that n is a multiple of 2.
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What are the key steps involved in deploying LLM applications into containers?
Define a/b testing?
How do you balance explainability and model performance?
What ethical considerations arise in AI systems that learn from user behavior?
Explain about from difference between strong ai and weak ai?
How many types of tensors are there?
What is vanishing gradient?
What are the most common types of machine learning task?
What is machine learning and how does it relate to ai?
Describe a situation where symbolic AI would be more appropriate than machine learning.
Which is best language for machine learning?
State the difference between a validation set and a test set?
Tell me how is knn different from k-means clustering?
What is transfer learning, and when would you use it?
What challenges arise when scaling LLMs for large-scale usage?
