Code Llama vs ChatGPT compared and tested

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Programmers and developers are constantly looking for tools to optimize their workflows, making the coding process more intuitive and efficient. If you're looking for the next coding tool to transform your coding experience, you'll be pleased to know that Meta has launched its latest creation: Code Llama. But how does it compare to ChatGPT for coding and app development? This quick overview guide will provide a bit more information about what Code Llama is and a comparison between Code Llama and ChatGPT and their coding skills today.

This is not an ordinary language model. Code Llama is a publicly available Large Language Model (LLM) designed specifically for coding tasks. If you're curious about its potential, consider this: it promises to speed up workflows for seasoned developers and even simplifies the world of coding for beginners. This is the bridge that was needed to connect the two extremes of the coding spectrum.

The philosophy behind Code Llama is clear: to facilitate developers in every conceivable sector, be it research, industry or even NGOs. By favoring an open approach to AI, Meta ensures that the tool is not only innovative but also meets security standards. This open model will undoubtedly play a central role in paving the way for new technological advancements that can improve our productivity when coding.

Code Llama has emerged as a promising competitor to ChatGPT, demonstrating its prowess by outperforming GPD 3.5 on some benchmarks. Code Llama is not a one-size-fits-all model. It offers four distinct modules: the Code Llama 34b instruction model and the original Llama 2 7b, 13b and 70b. The tests were primarily focused on the Code Llama 34b model, with all tests run in Python.

The first test was a simple calculator function in Python. Code Llama rose to the challenge and successfully implemented this feature. The second test involved implementing a Fibonacci series, a task Code Llama accomplished with ease, with and without recursion.

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The third test required writing a Python function to remove duplicate items from a list while preserving order. Code Llama has demonstrated proficiency in understanding Python sets and lists, successfully implementing the function. The fourth test was to write a Python function to validate a password based on certain criteria, a task that Code Llama also successfully accomplished.

However, Code Llama stumbled upon the fifth test, which involved writing a Python function to convert a Roman numeral to an integer value. This turned out to be a challenge that Code Llama couldn't complete. The sixth test, which required writing a Python function to rearrange the characters of a string so that matching letters would be grouped together, also proved to be a stumbling block for Code Llama and GPD 3.5.

The final test was to write HTML code for a web page with a button that changes the background color and displays a random joke when pressed. Code Llama bought it...