ChatGPT is a large language model (LLM), which means that it is trained on a massive dataset of text and code. This dataset includes books, articles, code, and other forms of text. ChatGPT learns to identify patterns in this data and to use these patterns to generate text that is like the text in the dataset.
ChatGPT works by first understanding your prompt. It does this by breaking down your prompt into smaller words and phrases and then identifying the relationships between these words and phrases. Once ChatGPT understands your prompt, it then generates a response that is consistent with the understanding of your prompt.
The response that ChatGPT generates is not always perfect. It may sometimes generate text that is grammatically incorrect or that does not make sense. However, ChatGPT is constantly being improved, and it is getting better at generating accurate and informative text.
Here are some of the key steps involved in how ChatGPT works:
- Data collection: A massive dataset of text and code is collected. This dataset includes books, articles, code, and other forms of text.
- Data processing: The dataset is processed to remove any errors or inconsistencies. The processed dataset is then used to train the ChatGPT model.
- Model training: The ChatGPT model is trained using a process called supervised learning. In supervised learning, the model is given a set of inputs (the prompt) and a set of outputs (the desired response). The model then learns to associate the inputs with the outputs.
- Response generation: Once the ChatGPT model is trained, it can be used to generate responses. To generate a response, the model is given a prompt, and it then generates a response consistent with the prompt's understanding.
While ChatGPT is a front-end chatbot, but behind the scenes, it uses OpenAI. ChatGPT uses OpenAI behind the scenes in a few ways:
- ChatGPT is a fine-tuned version of GPT-3.5, a language model trained by OpenAI. This means that ChatGPT has been trained on the same massive dataset of text and code as GPT-3.5, and it has been fine-tuned to be specifically good at generating chat conversations.
- ChatGPT uses OpenAI's API to access the ChatGPT model. This means that when you use ChatGPT, your requests are sent to OpenAI's servers, and the ChatGPT model is used to generate your response.
- ChatGPT is subject to OpenAI's safety guidelines. This means that ChatGPT is not allowed to generate harmful, unsafe, or biased responses.
On the front-end side, users use ChatGPT as a chatbot using a prompt. Behind the scene, the UI passes the prompt to OpenAI and gets a response back.
You can ask simple questions such as, “What is the capital of India”, and “Where is San Diego” and you will get the responses back.
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You may also continue to chat with ChatGPT on the same topic and ask further questions.
You may also ask more in-depth questions, such as, “Can you compare India and US with their geography”. You may notice, I typed incorrect grammar.
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ChatGPT can also help you with your school homework, solve your math problems, and even write your resume.
Here is a prompt – “[I’m a recent graduate of computer science]. Can you write my resume in a single page?” and you will get your resume done right away. Of course, you will have to update your skills, projects, college details, etc.
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More information you provide ChatGPT, the better response you will get from it.
ChatGPT can even rewrite existing content or help you explain an existing code line by line.
Students and young software developers can really benefit from it for learning purposes and write better and faster code.
Next: What is ChatGPT? Everything You Need To Know About ChatGPT