chatGPT vs GPT-4

GPT-4 vs. ChatGPT: Comparison of AI Chatbots

chatGPT vs GPT-4

The two GPT technology pioneers, GPT-4 and ChatGPT, have significantly increased interest in generative AI and artificial intelligence in general.

Generative Pre-trained Transformer, sometimes known as GPT, is a type of sophisticated artificial intelligence. A neural network machine learning model that was built using a sizable amount of data downloaded from the internet is used to imitate thought. Advanced AI chatbots use AI models to produce text responses that are similar to those of real people, create documents, and address issues.

GPT-4 and ChatGPT have both received praise for being superior AI-based solutions. They are clearly comparable; GPT-4, which is based on GPT-3.5, is essentially ChatGPT’s update.

As a result, GPT-4 is more sophisticated and outperforms ChatGPT in almost all areas. In this article, ChatGPT and GPT-4 are compared in terms of a variety of factors:

  • GPT-4 vs. ChatGPT: Pricing

Although ChatGPT includes a free basic version, the premium ChatGPT Plus version costs $20/month. Subscribers get priority access to new features and enhancements, access to ChatGPT during peak hours, and quicker responses.

GPT-4 can only be obtained through subscription. Its pricing is somewhat intricate. Rates per 1,000 tokens (chunks of text) are provided. 1,000 tokens equate to roughly 750 words of content. Prompt costs range from 3 cents to 6 cents per 1,000 tokens, and finishing costs range from 6 cents to 12 cents per thousand. Access to a greater variety of contextual data is made possible by the higher rate.

  • ChatGPT vs. GPT-4: The translations

The field of automatic English to foreign language translation was advanced significantly by ChatGPT.

GPT-4, however, goes a step farther. In 24 of the 26 tested languages, it outperformed ChatGPT in terms of translation accuracy.

  • ChatGPT vs. GPT-4: Content Creation

It is rumoured that ChatGPT can be taught to write in the same tone and with the same grammar as authentic content. However, it is unlikely to be effective in poetry or creative writing. This is definitely useful for consistency in social media posts and email marketing.

In addition to accurately reflecting the main ideas of lengthy texts, papers, and reports, ChatGPT may also highlight important passages within a text and summarise important passages.

These activities can be accomplished by GPT-4 as well, but with more consistent outcomes.

  • ChatGPT vs. GPT-4 : For detecting plagiarism

AI Text Classifier, a plagiarism detector, is a feature of ChatGPT. It is effective at flagging possible instances of plagiarism, but they should never be taken seriously because it occasionally makes mistakes.

OpenAI advises that once ChatGPT identifies potential candidates, humans should be brought in to examine the information and ascertain the truth.

GPT-4, in contrast, detects instances of plagiarism more reliably (albeit it is still far from 100%). Additionally, it performs better at identifying material that was written by an AI vs text that was written by a human and at spotting automated disinformation campaigns that make use of AI capabilities.

The typical limits of both, however, include a higher risk of error with texts under 1,000 characters and that English yields better plagiarism results than other languages, users are cautioned.

  • ChatGPT vs. GPT-4: Complex Tasks

GPT-4 performs better as the task’s complexity increases. Above a certain point, its dependability and originality in comparison to ChatGPT become increasingly clear.

For instance, GPT-4 excels at easy computer programming, writing straightforward legal documents, developing simple computer games, and passing exams. For instance, it achieved a score in the 99th percentile on the Biology Olympiad examination (ChatGPT only achieved a score in the 31st percentile).

  • GPT-4 vs. ChatGPT: Text-Based Queries

OpenAI has created two generative AI language models: ChatGPT and GPT-4. To be able to produce text responses to a given prompt that are human-like, they have been trained on a vast amount of text data from the internet.

They can both learn linguistic patterns and produce content that is cohesive and human-like since they were both constructed using a deep learning architecture called the Transformer. GPT-4’s responses are more accurate than ChatGPT’s because it has access to more recent data, more AI resources, and uses more parameters.

  • ChatGPT vs. GPT-4: Image Interpretation

The area where GPT-4 differs most from ChatGPT is the picture interpretation category.

Compared to ChatGPT, GPT-4 is a far better example of a multimodal language AI model. As such, it does a good job at interpreting visuals.

GPT-4 may therefore create websites from sketches and recommend recipes based on images of items in the fridge or on a tabletop. None of these things are truly something ChatGPT can perform.

  • GPT-4 vs. ChatGPT :Applications for chatbots

Among the chatbot programmes used frequently to automate customer service, respond to frequently asked questions, and converse with consumers, ChatGPT has a strong track record. The conversational responses of this AI-powered chatbot are much better than those of the much more simplistic chatbots now being used on websites. It uses machine learning to respond in this way.

GPT-4 is capable of performing the same tasks, but it has access to a wider variety of online texts written by real humans, including news articles, novels, websites, and more.

Both GPT-4 and ChatGPT perform this chatbot function well, however GPT-4 is more accurate when responding to questions concerning shipment timetables, progress, product returns, and the availability of products and services.

  • GPT-4 and ChatGPT: Handling Current Data

The drawback of GPT-4 and ChatGPT is that they both rely on potentially dated data.

Although GPT-4 contains information that is a few months more recent than ChatGPT, both AI chatbots omit the most recent data.

As a result of recent revisions, both are susceptible to error, ChatGPT more so.

  • GPT-4 vs. ChatGPT: Response Accuracy

As a result of a few odd replies to questions and one or two flat-out incorrect ones, ChatGPT found itself into some trouble.

Fortunately, ChatGPT is less precise than GPT-4. According to OpenAI, GPT-4 is 60% less likely to make up responses and 82% less likely to reply to requests for content that OpenAI forbids. However, don’t anticipate the chatbot to be perfect.

Conclusion: ChatGPT vs. GPT-4

Both ChatGPT and GPT-4 implement a neural network that manages sequential data using a transformer-based design. Because ChatGPT is built on GPT-3.5, it is less sophisticated, has fewer potential parameter inclusions, and its data might be a little older. As a result, it is less precise and performs worse than GPT-4, especially as the difficulty of the task or challenge increases.

In its current state, ChatGPT appears to function effectively in chatbots, language translation, and simple question answering. However, GPT-4 is more intelligent than GPT-3 and can process eight times as many words.

Reporters will continue to find ways to trick them both, but GPT-4 is much less prone to mistakes and hallucinogenic reactions. It even explains the humour of jokes. Because GPT-4 covers everything in ChatGPT (based on GPT-3.5) and much more, users should move right there.

I am Shakshi Bhuiya, an engineer, tech enthusiast and public speaker.