1. Perform transpose on a matrix in C++ given only the pointer to the start of the matrix, the number of rows and the size of bytes to "jump" 2. Do the same but for an array of int32s. 3. Implement a convolution on a matrix that will perform convolution on the sums of all the previous values up to the cell where the convolution is applied (convolution over an integral image)
The technical question was identical to the Roman to Integer leetcode problem.
What RAG similarity formulas are there? What ones did you use? How do you store and retrieve RAG datasets?
Can you explain the least squares method in machine learning, how it works, and why it is used?
1. coding task 2.recording an introductory video
Pick which of the two AI generated solutions is the best one for the given user prompt and write out why like reviewing a pull request
System Design, past experience, computer vision basics
Do you use AI in your daily workflow? And if yes, how?
How to measure the performance of a machine learnign model?
Forgot the questions, but mostly Java stuff
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