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What is ChatGPT, Elon Musk backed AI tool, and how does it work?
OpenAI's ChatGPT language model uses deep learning and the GPT architecture to produce text that is human-like.
Updated : Jan 19, 2023, 10:43 AM IST | Edited by : Raunak Jain
 "ChatGPT, language generation model, GPT architecture, natural language processing, language translation, text summarization")
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OpenAI created the ChatGPT language generation model. It is built on the deep learning-based GPT (Generative Pre-training Transformer) architecture, which produces natural language text. The model is able to produce fluent, logical responses to a variety of prompts because it was trained on a sizable text dataset.
ChatGPT's capacity to produce text that seems human-like is one of its important characteristics. This makes it suitable for a range of natural language processing applications, including text summarization, dialogue production, and language translation. Furthermore, ChatGPT can be tailored for certain activities, enabling it to adjust to various languages, writing styles, and use cases.
AI chatbots can help with activities like editing text and reviewing math problems. Elon Musk, the CEO of Tesla and the founder of SpaceX and Neuralink, believes that because of this, the process of completing homework may be revolutionised and made simpler by AI chatbots.
You will need to have access to the model's API in order to use ChatGPT. For developers to access the model and begin testing it, OpenAI provides a free API key. Once you've obtained an API key, you may use it to send the model queries and produce text in response to a specific prompt.
When submitting a request to the model, you must include a prompt. This is the text from which the model will draw inspiration when creating its response. A question, a statement, or any other text that you want the model to produce a response to can serve as the prompt. You can additionally supply the model with other information, such as the response's duration, temperature, and number of responses to produce.
The model will respond to your request by producing a response that you can utilise in your application. A single text or a list of several texts can serve as the response. It's also crucial to keep in mind that the model won't always provide you a flawless answer to your inquiry and that it could occasionally produce language that makes no sense or is unrelated to your prompt.
