OpenAi's GPT4 as coding assistant
This work addresses the problem of enhancing coding efficiency for programmers, though it is incremental as it builds on existing LLM capabilities.
The paper evaluated GPT-3.5 and GPT-4 as coding assistants by testing their ability to answer development questions, produce reliable code, and assist in debugging, finding that GPT-4's outstanding performance could increase programmer productivity and reorganize software development.
Lately, Large Language Models have been widely used in code generation. GPT4 is considered the most potent Large Language Model from Openai. In this paper, we examine GPT3.5 and GPT4 as coding assistants. More specifically, we have constructed appropriate tests to check whether the two systems can a) answer typical questions that can arise during the code development, b) produce reliable code, and c) contribute to code debugging. The test results are impressive. The performance of GPT4 is outstanding and signals an increase in the productivity of programmers and the reorganization of software development procedures based on these new tools.