AI is finding it's way in a wide variety of applications pertaining to almost every industry. This AI driven rapidly evolving landscape has created a demand for a unique blend of technical, creative, and interpersonal skills highly sought-after by employers. Listed below are some specialized AI-related skills that are becoming increasingly valuable in the modern times. 1. AI Models Development Understanding how AI and ML work including the underlying algorithms, and learning to develop ML powered apps using tools like TensorFlow or PyTorch is a highly desirable skill to master in the age of AI. Furthermore, the skills in fine-tuning and adapting large pre-trained models (like GPT, BERT, or Vision Transformers) to specific use cases are also useful, allowing you to create specialized applications without starting from scratch. Leveraging pre-trained models and adapting them to new tasks with limited data is particularly useful in NLP and computer vision. 2. AI Models Deployme...
Much of the execution time of a software program is used by loops. Substantial improvement can be achieved in running time of the software by reducing the number of loops, minimizing the number of iterations of a loop or reducing the number of code statements inside the loop. Following are few of the loop optimization techniques which are effective for increasing the execution speed of a software program:
1. Code Reduction Inside Loop. Move all the code statements outside the loop body, which can be moved without changing the overall program logic.
2. Combine Multiple Loops. Combine two or more loops in one single loop where possible.
3. Unroll the Loop. Unroll the loop be replacing iterations with sequential statements. Loop unrolling increases the program speed by eliminating loop control and test instruction.
4. Optimize Loop Condition. Remove expensive function calls from loop condition and control statement. Reverse the value assignment from loop condition as it is faster to test if something is equal to zero than to compare two numbers.
5. Optimize Code in Loop Body. Optimize the code in loop body by finding faster alternates to expensive operations. Eliminating expensive operations inside the loop can speed the program to a great extent.
Addition is Cheaper than Multiplication
6. Split the Loop. Split the loop if it contains conditional statements to assign values on different index ranges.
7. Eliminate Dead Code. Remove any dead code from the loop. Generally, the loop condition variable is redundant and it can be replaced by some other variable.
8. Minimize Loop Iterations. Try to minimize the number of iterations of a loop and avoid nested loops by finding an alternate way to implement your program logic.
9. Avoid Functions in Loops. Avoid calling functions in loops, as the function calls could be expensive.
These are few of the guidelines for optimizing the loops to improve execution time of software programs and making them faster. Note that sometimes optimizing for speed conflicts with code readability. Therefore, you should go for speed optimization when it is absolutely necessary.
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