The OpenAI ChatGPT language models GPT-4 and GPT-3.5 differ in the following ways

The most recent version of ChatGPT, OpenAI's language model, GPT-4, represents a technological leap forward in artificial intelligence (AI) that has reshaped the way humans communicate with machines.

Because it can process text, images, and videos, ChatGPT is an extremely adaptable tool for individuals, businesses, and marketers alike.

What Is GPT-4?

Compared to its predecessor, GPT-3.5, GPT-4 is ten times more advanced. The model will be able to recognize subtleties and gain a deeper comprehension of the context thanks to this improvement, which will lead to responses that are more precise and consistent.

Additionally, compared to GPT-3.5's 4,000 tokens (or 3,125 words), GPT-4 has a maximum token limit of 32,000, which is significantly higher.

GPT-3.5 Vs. What Makes GPT-4 Different?

Compared to its predecessor, GPT-4 offers several enhancements, some of which are as follows:

1. Finesse in Language:

While GPT-3.5 is capable of producing human-like text, GPT-4 is even better at understanding and producing various dialects and responding to the text's emotions.

For instance, GPT-4 can recognize when a user is expressing sadness or frustration and respond with empathy, giving the interaction a more personal and genuine feel.

The ability of GPT-4 to work with dialects, which are cultural or regional variations of a language, is one of its most impressive features.

Language models may have a difficult time comprehending dialects due to the distinct vocabulary, grammar, and pronunciation that dialects frequently possess.

Notwithstanding, GPT-4 has been explicitly intended to beat these difficulties and can precisely create and decipher the text in different lingos.

2. Combination of Data:

GPT-4 can synthesize information from multiple sources to answer complex questions, whereas GPT-3.5 may have trouble connecting the dots.

GPT-4, for instance, can provide a more in-depth and nuanced response when asked about the connection between the decline in bee populations and the impact on global agriculture by citing various studies and sources.

GPT-4 now includes a feature that lets it properly cite sources when creating text, unlike its predecessor.

This means that the model cites the sources it used when creating content, making it easier for readers to verify the information's accuracy.

3. Coherence and Creativity:

GPT-4 goes one step further by producing stories, poems, or essays with improved coherence and creativity, whereas GPT-3.5 can produce creative content.

For instance, GPT-4 is capable of writing a short story with a well-developed plot and character growth, whereas GPT-3.5 may struggle to maintain narrative consistency and coherence.

4. Solving Complex Problems:

Beyond the capabilities of GPT-3.5, GPT-4 demonstrates a strong capacity for solving challenging scientific and mathematical problems.

For instance, GPT-4 performs better than its predecessor at simulating chemical reactions and solving complex calculus problems.

GPT-4's comprehension and processing of scientific and mathematical concepts have significantly improved. It can solve complicated equations and carry out a variety of mathematical operations, such as calculus, algebra, and geometry, as part of its mathematical abilities.

Physics, chemistry, biology, and astronomy are just a few of the scientific fields that GPT-4 can handle.

It can easily analyze intricate scientific texts and provide insights and explanations thanks to its advanced processing power and language modeling capabilities.

It is likely that GPT-4 will continue to expand its capabilities and become even more adept at a wider range of subjects and tasks as the technology continues to advance.

5. Powerful Programming:

With its ability to generate code snippets or debug existing code more efficiently than GPT-3.5, GPT-4's programming capabilities have taken over social media, making it an invaluable resource for software developers.

With the assistance of GPT-4, weeks' worth of work can be accomplished in a matter of hours, resulting in extraordinary outcomes in record time. You can try these questions:

"Write code to train X using dataset Y." • "I'm receiving this error." Fix it."

"Now increase your performance."

"Wrap it in a GUI now."

6. Understanding of Images and Graphics:

GPT-4 is capable of analyzing and commenting on graphics and images, in contrast to GPT-3.5, which focuses primarily on text.

GPT-4 is a powerful tool for education and content creation because, for instance, it can describe the content of a photo, identify trends in a graph, and even generate captions for images.

Imagine how this technology would work with Matomo or Google Analytics. In just a few minutes, you could get highly accurate analytics for all of your dashboards.

7. Reduction of Biased or Inappropriate Responses:

GPT-4 uses mechanisms to reduce the number of undesirable outcomes, increasing reliability and moral responsibility.

For instance, GPT-4 is a more reliable AI companion than GPT-3.5 because it is less likely to produce content that is harmful, offensive, or politically biased.