{"id":223664,"date":"2024-04-18T14:14:15","date_gmt":"2024-04-18T14:14:15","guid":{"rendered":"https:\/\/www.techopedia.com\/?p=223664"},"modified":"2024-04-18T14:14:15","modified_gmt":"2024-04-18T14:14:15","slug":"chatgpt-models-guide-gpt-3-5-gpt-4-gpt-4-turbo-gpt-5-explained","status":"publish","type":"post","link":"https:\/\/www.techopedia.com\/chatgpt-models-guide","title":{"rendered":"ChatGPT Models Guide: GPT-3.5, GPT-4, GPT-4 Turbo & GPT-5 Explained"},"content":{"rendered":"

The rapid advancements in artificial intelligence<\/a> and natural language processing<\/a> (NLP), in particular, have led to the development of increasingly sophisticated language models, such as the GPT series<\/a> by OpenAI<\/a>. These models, including the well-known ChatGPT<\/a>, have garnered significant attention for their ability to generate human-like text and engage in conversational interactions.<\/p>\n

It is essential to note that while ChatGPT has become a household name, it is just one application of the underlying GPT language models<\/a>. GPT models, such as GPT-3.5 and GPT-4, serve as the foundation for various AI-powered tools and applications, including ChatGPT.<\/p>\n

Understanding the distinction between ChatGPT and GPT is crucial for grasping the full scope and potential of these technologies. However, with the proliferation of different GPT models and their associated applications, it can be challenging to understand their distinct capabilities and differences.<\/p>\n

This article aims to clarify the landscape of GPT models, from the foundational GPT-3.5 to a more recent GPT-4 and its specialized variant, GPT-4 Turbo. We will examine the ChatGPT models list and explore the architecture, performance, and potential future developments of these models.<\/p>\n

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Key Takeaways<\/span><\/h2>\n