A neural network in artificial intelligence (AI) is a computational model inspired by the human brain’s structure. It consists of interconnected layers of nodes, or neurons, which process and transmit information. Neural networks learn from data by adjusting the weights of connections based on the input-output relationships, using techniques like backpropagation. They are particularly effective in tasks such as image recognition, natural language processing, and pattern recognition. By mimicking human cognitive functions, neural networks enable machines to make predictions, classify data, and recognize patterns, significantly advancing AI applications across various fields.

ChatGPT is an advanced language model developed by OpenAI, designed for natural language processing tasks. It generates human-like text responses based on input prompts, enabling conversational interactions. Built on the GPT architecture, it uses deep learning techniques and vast datasets to understand context and provide coherent replies. Applications range from customer support to content creation. ChatGPT continuously learns from user interactions, enhancing its accuracy and relevance over time. Its versatility makes it a valuable tool in various fields, including education, entertainment, and research.