GPT-4 is more intelligent than GPT-3.5, can handle longer prompts and conversations, and makes fewer factual mistakes. GPT-3.5, on the other hand, generates responses more quickly and does not have the hourly prompt limitations that GPT-4 has.
Artificial intelligence and machine learning have made great strides in recent years, particularly in the field of natural language processing (NLP). One of the most significant advancements in this area has been the development of Generative Pretrained Transformer (GPT) language models. In this blog, we will explore two of the latest models in the GPT series – GPT-3.5 and GPT-4.0, their differences, and when to use each one.
What is ChatGPT?
Before diving into GPT-3.5 and GPT-4.0, let’s first clarify what ChatGPT is. ChatGPT is a large language model trained by OpenAI based on the GPT-3.5 architecture. It is designed to understand natural language and generate responses that are coherent and relevant to the given prompts.
What is ChatGPT 3.5?
GPT-3.5 is a language model that is an extension of the original GPT-3 model. It was created by OpenAI to address some of the limitations of the earlier version. GPT-3.5 is capable of handling longer prompts and conversations, has better accuracy, and makes fewer factual errors. It is designed to be more intelligent and versatile, making it suitable for a wide range of applications.
What is ChatGPT 4.0?
GPT-4.0 is the next generation of language models in the GPT series. It is an even more advanced language model than GPT-3, with more than ten times the number of parameters. GPT 4.0 can process more data and generate more human-like responses.
GPT-3.5 vs GPT-4.0 – What’s the Difference?
The primary difference between GPT 3.5 and GPT 4.0 is the level of language processing and the amount of data they can process. GPT 4.0 has more than ten times the number of parameters compared to GPT 3.5, which means it can process more data and generate more human-like responses. GPT 4.0 is better at handling open-ended questions and generating creative and engaging responses.
In terms of speed, both models offer fast response times. However, GPT 4.0 is known to be slightly slower than GPT 3.5 due to its larger model size and complexity. Here’s an example when asked about an article about the relationship between humans and AI in the future. (GPT 3.5 left GPT 4.0 right)
2. Creativity And Coherence
While GPT-3.5 can generate creative content, GPT-4 goes a step further by producing stories, poems, or essays with improved coherence and creativity. For example, GPT-4 can produce a short story with a well-developed plot and character development, whereas GPT-3.5 might struggle to maintain consistency and coherence in the narrative. Here both of them are given a task to write a complex story about, about a team of thieves who enter people’s dreams to steal their secrets. (GPT 3.5 left GPT 4.0 right)
For coding tasks, GPT 4.0 typically outperforms GPT 3.5. It’s more proficient at understanding complex coding problems and generating accurate solutions. This improvement is a result of the enhanced training methodologies and a more expansive dataset used in GPT 4.0. With the help of GPT-4, weeks of work can be condensed into a few short hours, allowing extraordinary results to be achieved in record time.
4. Image And Graphics Understanding
Unlike GPT-3.5, which focuses primarily on text, GPT-4 can analyze and comment on images and graphics. For example, GPT-4 can describe the content of a photo, identify trends in a graph, or even generate captions for images, making it a powerful tool for education and content creation.
“Hallucinations” in AI context refer to instances where the AI generates information that isn’t based on the input provided or real-world facts. Both GPT 3.5 and GPT 4.0 are prone to such occurrences, but GPT 4.0 has been improved to reduce these instances significantly.
When should you use GPT 3.5 and 4.0
The choice between GPT 3.5 and GPT 4.0 largely depends on your specific needs. If your requirements are straightforward, like answering FAQs or guiding users through a simple process, GPT 3.5 might suffice. Its capabilities are robust enough for most general conversation tasks. However, if your requirements are more complex, involving intricate dialogues, deep context understanding, and nuanced responses, GPT 4.0 would be the better choice. Its advanced features allow it to handle sophisticated scenarios with more proficiency.
In summary, while GPT 3.5 and GPT 4.0 are both powerful AI models with a wide range of applications, GPT 4.0 offers notable improvements in terms of context understanding, response complexity, and overall performance. Ultimately, the choice between the two would depend on the complexity of the tasks at hand and the specific needs of your project or application.