Blog Post Which is better for your business, ChatGPT or ChatGPT Plus? Read this guide to explore the most suitable option for your business.
Syed Hassan ZamanArtificial intelligence has made significant strides in the recent few years, with large language models (LLMs) and chatbots at the forefront of it. We don’t expect you to have heard of all LLMs, but it’s hard not to hear about Chat GPT these days.
With ChatGPT becoming the fastest growing consumer app in human history, it was evident that an update was on the cards. An update did arrive in March 2023 in the form of Chat GPT 4, powered by the GPT 4 engine. The question is: Is ChatGPT 4 worth it?
Let’s answer this and many other questions regarding these AI chatbots, discussing ChatGPT 3.5 vs ChatGPT Plus in detail.
The original ChatGPT is based on the GPT 3.5 model, and the newer GPT Plus is based on the GPT 4 model. From architecture to performance, both have considerable differences, which we’ll discuss below to know how much better GPT 4 is from its predecessor.
ChatGPT 3.5 and ChatGPT 4 share similarities, as both are based on transformer architecture. It is a type of neural network that is designed explicitly for LLMs. The reason for choosing transformer architecture is that it processes text and other sequential data much faster than the usual reconstruction neural networks.
Although GPT and GPT Plus work on the same principle, the former uses a 12-layer transformer, while the latter uses a 24-layer transformer model with 1.76 trillion parameters. These numbers basically mean that GPT Plus is more capable of learning complex language patterns.
When we discuss ChatGPT 3.5 vs 4, the performance depends upon the quality and quantity of the data they are trained on. Although both variants of GPT are trained on a large dataset, there are considerable differences between the sources and types of data.
Every GPT model has a distinct cut-off point, meaning it doesn’t know about the events after that. Since GPT 4 is the latest version, it is more updated and contains newer information than its predecessor. As a direct result of the newer training datasets, GPT 4 depicts better-contextualized understanding and output richness. In addition to the latest information, the number of sources was expanded with GPT 4 compared to GPT.
GPT 4 is considerably faster than GPT in solving complex mathematical and scientific problems. From algebra to calculus, GPT 4 can solve the problem instead of giving us directions on how to solve it, like GPT 3. Putting both models to the test shows the differences in their effectiveness.
We asked both models to calculate the trajectory of a projectile while recording both air resistance and the impact of gravity. Where GPT told us to use the Euler’s or Runge-Kutta methods to perform the calculations, GPT 4 showed the actual Runge-Kutta method to calculate the answer.
The scientific capabilities of GPT 4 are also evident because it can simulate complete chemical reactions when you give it the inputs.
One of the major issues with GPT was that it was unimodal, meaning it could only understand and interpret text. On the contrary, GPT 4 is multimodal, meaning it can process images and accept prompts in the form of both text & images. Open AI’s Greg Brockman himself put GPT 4’s capabilities to the test on a live stream when he showed the model and image of a website (a description on paper) wanting a functioning code. GPT 4 generated complete JavaScript code for the website within a few seconds.
This anecdote shows us how powerful GPT 4 is and how it can revolutionize coding. Using it, code for entire websites can be generated quickly.
Another significant difference between the two models is their understanding of language nuances. For instance, GPT 3.5 didn’t ‘understand’ sarcasm or jokes, i.e., it was too literal in its outlook. GPT 4 has shown some serious advances in its comprehension abilities, producing poems and essays with much more clarity and nuance. That’s because GPT 4 has a much-improved context window, as it can retain up to 25,000 words compared to GPT 3.5 that can retain just 3,125 words.
You can experiment yourself by giving the same prompt to GPT 3.5 and GPT 4 to write a poem on cows, or anything, for that matter. While GPT 4 will generate a highly coherent and creative response, the poem written by GPT 3.5 would look less appealing. Similarly, GPT 4 can produce novels with complex plots and character development, which GPT 3.5 struggles with.
One significant difference between GPT 3.5 and 4 is that the former was trained on 175 billion parameters, while the latter had 1.76 trillion. How does it translate into a difference in their functionality? It simply means that GPT 4 will consult all its parameters before formulating an answer - so the higher the parameter count, the better the response.
Similarly, when discussing GPT 4 vs 3.5, one must remember that the former has been programmed so that it won’t answer illegal queries, such as hacking into websites.
Here are some other topics that GPT 4 won’t address:
So, is ChatGPT Plus worth it? Looks like it is with all of its advancements over its predecessor. Trained on massive datasets, these LLMs can help everyone from students to companies trying to improve their virtual customer care. If you also want to take your customer care to the next level, Aidbase is the perfect AI chatbot customer service.
Our goal is to provide you with a robust ecosystem where you can create dedicated AI chatbots for your company. You can supercharge your customer care experience by training these bots on extensive datasets and connecting them to your preferred third-party tools and services. You can even customize these AI bots according to your preferences.
So, contact us today and experience the new era of AI customer service.
