Название: Chatbots and Text generation
Автор: Jovan Pehcevski
Издательство: Arcler Press
Год: 2024
Страниц: 490
Язык: английский
Формат: pdf (true)
Размер: 50.9 MB
Chatbots such as ChatGPT are based on language models developed by using AI techniques. They are based on the Generative Pre-training Transformer (GPT) architecture and are trained on a huge amount of text data. This book edition covers different topics from chatbots and text generation, including: chatbots functioning, chatbot applications, implementation of text generation models and text generation applications. Artificial Intelligence (AI) is in the full swing of its development, as different companies are developing solutions and tools that can help in everyday work. One such tool, the new online sensation ChatGPT, is an online chatbot from the company OpenAI. Interacting with this chabot is in such great demand that their servers sometimes cannot handle so much traffic, which is being worked on rapidly. Text generation produced by ChatGPT and similar tools has many potential applications, such as in law (drafting contracts), medicine (diagnostics), journalism (news production), education (production of education materials), and science (search and generation of scientific papers). ChatGPT is a large language model based on the Generative Pre-training Transformer (GPT) architecture and trained on a huge amount of text data. ChatGPT is designed to generate human-generated text that can be used for a wide range of natural language processing (NLP) tasks, such as language translation, text summarization, and question answering. One of the key features of ChatGPT is its ability to generate coherent and fluent text. When given a query or a starting phrase, this online chatbot can generate a continuation of the text that is grammatically correct and semantically meaningful. This makes ChatGPT particularly useful for creating chatbots, content generation, and other tasks that require natural language generation.
