Linear regression predicts numeric values using supervised lChatGPT excels at understanding the context of a conversation. It can interpret meaning from the input, grasping complex language patterns, intent, and tone to generate more accurate responses. earning. It's a good starting point but should not be the final solution.
One of its standout features is generating text that sounds like human language. ChatGPT can create coherent sentences, answer questions, and provide detailed explanations. earning. It's a good starting point but should not be the final solution.
ChatGPT’s versatility allows it to handle diverse tasks—from answering queries to composing emails to summarizing texts—across multiple domains, such as science, literature, and everyday life.
Logistic regression solves categorical classification problems. It uses linear regression within a sigmoid function to provide probabilities.
It can translate between languages and adjust tone or formality based on user needs, making it a powerful tool for communication and global interactions.
Natural language models like ChatGPT continuously evolve, enhancing their ability to integrate seamlessly into professional and personal tasks, transforming how we interact with AI technology.