GPT-4 (Generative Pre-trained Transformer 4) is the next generation of language model created by OpenAI that has received a lot of interest from the natural language processing (NLP) field because of its capacity to produce text that is similar to human speech. The main characteristics of GPT-4 and its possible applications will be explored in this blog.
Transformer-based architecture, a kind of deep neural network created especially for NLP applications, is the foundation of GPT-4. It learns the linguistic patterns and structures necessary to produce coherent and natural-sounding writing by being trained on a sizeable dataset made up of a variety of texts from the internet, books, and other sources.
The capacity of GPT-4 to perform effectively on a variety of NLP tasks without the requirement for task-specific training is one of its key benefits. This makes it a valuable tool for developers and academics who want to create NLP applications fast and simply. On tasks like language production, translation, summarization, and question-answering, GPT-4 has shown enhanced performance.
It is crucial to remember that GPT-4 is still a machine-learning model and is not flawless. It is crucial to carefully assess its output and apply it properly since it may make mistakes or provide biased findings.
GPT-4 vs GPT-3
GPT-4 is substantially bigger than its predecessor, GPT-3, and is estimated to have been trained with over 100 trillion parameters compared to GPT-3’s 175 billion parameters. GPT-4 performs better on jobs like language production and translation because of its bigger size, which enables it to collect more information and subtleties in language.
Instead of being open to the public like GPT-3, GPT-4 is now only accessible to a small set of academics and developers through a secret API. Despite this, it has the potential to allow a wide range of technologies that can enhance and automate various language-based operations, including chatbots, virtual assistants, knowledge bases, and machine translation systems.
Comparison of GPT-3’s Training Parameters vs. GPT-4
ChatGPT (and giving it an AI voice)
ChatGPT is a natural language processing (NLP) chatbot created by OpenAI that is based on GPT-3.5. It is intended to be able to converse with users in a way that is natural and human-like. In the future, it is certain that improvements made via GPT-4 will be seen in a conversational interface such as ChatGPT for many applications. One such application could be to power a virtual assistant that could replace Alexa or Siri entirely. In fact, by connecting a custom AI voice from Resemble AI, you can converse with these Large Language Models (LLMs). Resemble’s API enables you to transmit the text from ChatGPT (through OpenAI’s API or an unofficial implementation) and receive spoken language in return. This spoken language can then be used as ChatGPT’s voice.
It should be noted that using a customized AI voice with ChatGPT may demand technical knowledge and programming. It’s also crucial to make sure you have the authorizations and permits required to employ the TTS system and custom AI voice of your choice.
GPT-4 is an innovative and potent advancement in the field of NLP that has the potential to enhance the functionality of a variety of language-based applications significantly. It is a tool that will likely continue to progress and improve in the coming years, and it will be interesting to watch how it is utilized and improved in the future.
While you wait for GPT-4, you can clone your own voice today for free and test out Resemble AI’s built-in integration with GPT-3.