A robust programming language for AI and machine learning applications is Mojo AI. Mojo AI allows developers to effectively create and optimise AI models by fusing the speed of C++ with the ease of use of Python. For large-scale computations, it provides advanced memory management, smooth integration with pre-existing Python libraries, and fast execution. Mojo AI is a great option for AI research, deep learning, and performance-intensive applications because of its creative methodology, which enables developers to push the limits of AI. Mojo AI offers a scalable and effective solution for AI-driven innovation, regardless of your level of experience.
What is Mojo AI
How can you try Mojo and at the moment it is not yet publicly available so you have to sign up and wait until you get access and once you have access you can try try it out via the so-called Mojo playground which is just a two-parter notebook with also the Mojo compiler in the background so so then you can write for example also python code and then also cells with Mojo code and then try this out but again it is not yet publicly available so you cannot simply install this on your own machine so you have to use it via their playground.
Start with Mojo AI
search for the get start with Mojo guide you’re going to find this online and it’s there is a section requirements where you’re going to how to install mojo on your Mac computer your Linux computer or your Windows computer you’re going to need to WSL for Windows and you’re going to need to have an apple silicon Mac computer if you want to run modu and obviously .you’re going to able to run your first hello world Modo application there is an entire guide.
Translating Python to Mojo AI
about the language Basics so you can start right after you do this then I want you to open the script that . there is a GitHub repo I’m going to start adding all of my code related to learning moo into that repo so you can follow along and you’re going to start with the hello world section and you’re going to there is folder hello world and there is a search. py inside that is the script that .
Performance Comparison: Python vs. Mojo AI
translate into moo to so you can see the differences in performance like .I mentioned before Mojo will be a super set so in a future we should be able to get this script and run it in Mojo with no modifications whatsoever right now that is not possible . so right now we’re going to have to translate the script you not a big deal but you’re going to have to do that right now just because the language is not ready yet so here’s what the script does very simple script contains a binary search function.
Understanding Mojo AI’s Core Components
that is going to take a sorted array and an element and it’s going to find the position of that element in that array that’s it it’s a very very straightforward binary search implementation okay that’s the function then there is a second function that’s called main which is going to set up the whole experiment that we’re trying to do here I start with declaring this constant and it’s going to be 1 million and then I I initialize an array it’s an empty array and I start adding numbers to that array so the array is going to.
Testing and Executing Mojo AI Code
come out sorted on the other side again nothing fancy I just want to create something that’s very very simple I initialize uh results as Another Empty array I’m going to use this variable to accumulate the results of the binary search function and then I’m going to time this portion there this code is the one that I want to time to how long it takes to execute this functionality this is what I’m timing I’m going to go 1 million times and I’m going to call the binary search function consecutively 1 million times .
Mojo AI: The Future of AI Development
just going to accumulate those values in the result array execute in this is what matters .that’s what I want to measure in Python and then when we P this code over moo I want to measure that on modu . I’m using the time function to capture the time and then I’m using it again to capture the time after we execute the function and obviously I compute how much time has passed and I multiply by a th because the result of time is in seconds and I want to return Mill milliseconds that’s what I want to print that’s it at.
Conclusion
the end of the program the only thing that I do is I print how many results I added I should get a million just to make sure everything is working fine and then I call the main function that’s my code so now execute this code going to use Python 3 going to call the search function and it takes 14 14 milliseconds to run let’s do it again 1405 let’s do it one more time 1406 all right so that’s how long it takes so 1.4 seconds total to run the binary search function 1 million times now what I want to do is take this code and translate it Loosely using the word translated into modu.
