GPT-4 vs GPT-3: Unraveling the Differences Between the AI Giants

March 15 2023

2 years ago

Estimated reading time: 3 minutes

OpenAI's GPT-3 is one of the most impressive AI models to date. It is capable of generating human-like text, translating languages, summarizing large documents, and much more. However, its successor, GPT-4, is rumored to be an even more impressive model, built using a larger dataset, and able to perform a wider range of language and code generation tasks. In this article, we explore the differences between GPT-4 and GPT-3 to help you understand how the new model improves upon its predecessor.

Performance:

According to OpenAI, GPT-4 will offer a huge performance leap over its predecessor. GPT-4 will include improvements in human-like text generation, language translation, summarization, and other language and code generation tasks in a more versatile and adaptable manner. It is said to have the ability to generate long-form content, making it easier for users to create natural language content with fewer mistakes.

Disallowed Content and Factual Responses:

OpenAI has also announced that 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. This means that the chatbot is far less likely to be tricked into telling users how to break the law or harm themselves or others. This improved safety feature makes GPT-4 a more reliable and secure language model.

Size:

One of the biggest differences between GPT-3 and GPT-4 is the size of their training datasets. According to NeuroFlash, GPT-4 will use 45GB of training data - 28GB more than GPT-3. If true, we would expect the new model to deliver considerably more accurate results compared to its predecessor. The larger training dataset will provide GPT-4 with more context, making it easier for it to identify relationships between words and generate more accurate content.

Other Features:

GPT-4 is also expected to be more versatile than its predecessor, capable of handling more diverse language and code generation tasks. The new model will also be more adaptable, able to learn from new data sources, and improve its performance over time. Moreover, GPT-4 is said to have a more robust architecture, making it more reliable and resilient to errors.

FAQs:

Q: Is GPT-4 already available to the public?

A: No, GPT-4 is still in development and has not yet been released to the public.

Q: Will GPT-4 be better at generating content than GPT-3?

A: Yes, according to OpenAI, GPT-4 will be able to generate more accurate and natural language content than its predecessor.

Q: Will GPT-4 be safer to use than GPT-3?

A: Yes, GPT-4 is expected to be safer than GPT-3

Conclusion:

GPT-4 is the successor to GPT-3 and is expected to have significantly more parameters - 100 trillion compared to GPT-3's 175 billion. Additionally, GPT-3 has limitations in memory and can only process information within a 500-1000 word window, making it challenging to complete long-form tasks such as writing a novel or coding a program. However, it is tough to predict what will happen once GPT-4 is released, and more information is needed to determine the full extent of the differences between the two models.