Whilst all the hubbubs that Artificial intelligence has created, two AI tools are making the headlines and taking the digital landscape by storm, ChatGPT and GitHub Copilot. Yet, there is still so much more to learn about them!

While both these tools can help us to simplify our work, they are designed for different purposes. Both are powerful tools and assist developers in writing codes, but the choice between the two may depend on certain specific needs and have their own set of strengths and weaknesses.

Here, we are going to churn some information about the two tools and come up with a comparison between them. So, if you are in search of the right AI assistant this blog might be of particular help.

 

What is GitHub Copilot?

GitHub Copilot is primarily a code generation tool. It uses machine learning to understand the context of the code and suggest lines of code to the developers during the code-writing process. It is a product of the collaboration between GitHub and OpenAI and uses Generative Pre-trained Transformer or GPT technology for prompt and appropriate responses. It has been trained on billions of lines of code from public repositories belonging to GitHub.

GitHub Copilot can help coders by suggesting entire lines of code, variable declarations, function calls, and other forms during code generation. It is up to the developers to either accept or modify the suggestion for their code completion. This has made code generation much more seamless and highly effective in much less time. Thus, it can be said that Copilot is a significant progress in code generation technology and has high potential to massively enhance the productivity and efficiency of developers.

 

What is ChatGPT?

ChatGPT is an exceptionally designed language model developed by OpenAI. It is based on the architecture of a Generative Pre-trained Transformer or GPT and has been particularly built to produce high-quality textual data. It relies on a massive dataset and produces human-like responses for a wide array of prompts and queries. This means that it can heavily deal with natural language processing tasks primarily including text generation, and answering questions at a large scale.

ChatGPT’s highly distinguishable feature is that it can understand natural language and reply with intelligent responses to any amount of user queries. Its understanding of the nuances of languages deeply relies on a large collection of textual data which helps it generate relevant, contextually correct responses. This AI tool has been trained on data collected from online content, books, and articles giving it a depth of knowledge for varied senses of languages.

The utility of ChatGPT lies in a wide range of tasks majorly including answering various questions, generating any amount of text, and even writing codes for developers. It has been used on various applications, ranging from chatbots, language translation tools, and virtual assistants.

 

Comparison between ChatGPT and GitHub Copilot

While both AI-powered tools have their own benefits, they have certain differences making them useful for different technological arenas.

 

Primary purpose

Copilot is for coders to help them with their code, while ChatGPT has been designed explicitly for chatbot applications.

 

Ease of use

Copilot comes with an easy-to-use user interface which is not in the case of ChatGPT.

 

Content creation

ChatGPT can produce long-form articles and codes, while Copilot is not the appropriate tool for textual content.

 

Code generation

In Copilot, code generation is quicker and more efficient, whereas ChatGPT is an AI assistant with suggestions and solutions for code refactoring.

 

Training data

ChatGPT has been trained on a wide range of language data from various digital and non-digital sources, while GitHub Copilot relies on an extensive dataset of code from the GitHub repository.

 

Response output

Where Copilot generates codes as responses, ChatGPT produces natural language.

 

Integration

ChatGPT can be integrated with various types of applications through the API of OpenAI, while Github Copilot is associated with Microsoft’s Visual Studio Code editor.

 

Price

ChatGPT is absolutely a free application while Copilot is a paid service and can be accessed by GitHub’s subscribers.

 

Conclusion

Putting that all together in a single platter, it can be said that ChatGPT is designed for tasks based on natural language, while GitHub Copilot is a coder’s heaven catering to code generation tasks. Both of the AI-powered tools have their unique set of applications and benefits, but since they are built to serve different purposes, it is not proper to directly compare them.

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