#ChatGPT chatbot came out and we thought it seems very good at fixing software bugs, but its main advantage over other methods and AI models is its unique ability to converse with humans allowing it to improve the answer's correctness.

#Researchers from Johannes Gutenberg University Mainz and University College London compared OpenAI’s ChatGPT to “standard automated programme repair techniques” as well as two deep-learning approaches to programme repairs: Codex, OpenAI’s GPT-3-based model that underpins GitHub’s Copilot paired programming and auto code-completion service, and CoCoNut from the University of Waterloo, Canada.

Although the ability of ChatGPT to solve coding problems is not novel, the researchers emphasise that its unique ability to converse with humans gives it a potential advantage over other approaches and models.

Microsoft Corp rolled out a premium Teams messaging offering powered by ChatGPT to simplify meetings using the AI chatbot that has taken Silicon Valley by storm. OpenAI-owned ChatGPT will generate automatic meeting notes, recommend tasks and help create meeting templates for Teams users. At the same time, Google reportedly has employees testing its own AI-powered chatbot rivals to ChatGPT right now, and it wouldn’t be surprising if it was doing something similar with its currently internal tools for turning text into images or even video.



ChatGPT is built on the transformer architecture, which was developed by Google, Codex, Microsoft Research’s CodeBERT, and Google’s predecessor BERT are all based on Google’s transformer method.

The examples for debugging code, OpenAI highlights ChatGPT’s dialogue capability, where it can ask for clarifications and receive hints from a person to arrive at a better answer. Companies that create bug-fixing software — and software engineers themselves are taking note. However, an obvious barrier to tech companies adopting ChatGPT on a platform like .