All You Need to Know About GPT-4

The introduction of natural language processing (NLP) models, GPT-3 and GPT-4, was revolutionary and fascinating to the whole world.

These models have the remarkable ability to understand and generate human-like text, making them incredibly useful for a wide range of conversational applications, from chatbots to virtual assistants.

But what’s the difference between the 2 models and what’s the story behind them? Let’s delve in.

ChatGPT works by using a deep learning technique called a transformer. The transformer was first introduced in a 2017 paper by Google researchers and has since become one of the most popular NLP techniques. Transformers are designed to understand the context of words in a sentence, which allows them to generate more accurate and natural responses.

To create ChatGPT, OpenAI trained a transformer on a massive amount of text from the internet, including websites, books, and articles. This training allowed the model to learn how to generate natural language and respond to a wide range of prompts. When a user interacts with ChatGPT, the model uses its understanding of language and context to generate a response that is appropriate to the user’s input.

ChatGPT was created by OpenAI, a research organization dedicated to creating artificial intelligence that benefits humanity. OpenAI was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, John Schulman, and Wojciech Zaremba. In 2018, Musk resigned from OpenAI’s board of directors.

GPT-4 is the fourth version of the natural language processing (NLP) model, GPT, which stands for “Generative Pre-trained Transformer.” It was developed by OpenAI, a research organization dedicated to creating artificial intelligence that benefits humanity.

One of the main new features of GPT-4 is its increased size and complexity. It has 10 times the parameters of its predecessor, GPT-3, which allows it to understand and generate more complex text.

Additionally, GPT-4 has been trained on even more data than GPT-3, making it more accurate and able to understand a wider range of topics.

Another new groundbreaking feature of GPT-4 is its ability to generate multi-modal responses. This means that the chatbot can now generate text and images, which can make conversations with users even more engaging and interactive. For example, if a user asks GPT-4 about a specific type of car, it could generate an image of that car along with its response!

Moreover, GPT-4 is 82% less likely to respond to requests for disallowed content and 40% more likely to produce factual responses than GPT-3.5, according to OpenAI’s internal evaluations.

In a nutshell, GPT-4 has enhanced capabilities in:

• Advanced reasoning
• Complex instructions
• Creativity

GPT-4 is currently available to ChatGPT Plus subscribers only.

ChatGPT Plus Plan is for $20/month.

GPT-4 is poised to revolutionise the way we interact with machines and automation. As we’ve seen, this model builds on the already impressive capabilities of GPT-3, offering new features and even greater language-processing abilities.

While the development of these models raises important ethical questions around privacy and the role of AI in our lives, there’s no doubt that GPT-4 and models like it have the potential to transform our workflows, streamline communication, and unlock new frontiers in artificial intelligence.