It is unlikely that ChatGPT or any other language model will be able to fully replace programmers. While language models such as ChatGPT can generate code and assist with tasks such as debugging, programming requires a level of logical thinking, problem-solving, and creativity that cannot be fully automated.

Programming also involves working with complex systems and understanding how to design and build software that is efficient, reliable, and maintainable. This requires a deep understanding of computer science concepts and the ability to apply them in practice.

Let me introduce you

What is OpenAI ChatGPT?

OpenAI ChatGPT is a large, open-source language model made by OpenAI. It is trained to write text in a conversational style that sounds like it was written by a person. It is based on the GPT (Generative Pre-training Transformer) language model, which is a type of transformer-based neural network that is trained to predict the next word in a string of text.

ChatGPT is made to respond to the text input in a way that sounds natural and like what a person would say in a conversation. It has been trained on a large set of conversations between people, so it knows how to respond in a way that makes sense and fits the situation. ChatGPT can be used for many different things, like chatbots, making content, and translating languages.

Can ChatGPT solve Google interview coding questions?

GPT-3, which is not the same as ChatGPT, is a powerful language model that can make text that looks like it was written by a person, including code. But it wasn’t made to answer coding questions, so it might not be the best tool for this task.

To prepare for a coding interview, it is usually better to solve coding problems on your own or with the help of a tutor or mentor than to use a language model to make code for you. This will give you the skills and knowledge you need to solve the kinds of problems you’re likely to face in a coding interview.

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Also, you should know about ideas and methods that are often used in coding interviews, like data structures, algorithms, and computational complexity. If you learn about these things and try to use them to solve real-world problems, you’ll be better prepared for the kinds of questions you might be asked in a coding interview.

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