OpenAI has just released the latest GPT-4 language model, and it is now available on ChatGPT Plus, while the API requires to be joined to the waitlist.
What is the difference between the GPT-4 and ChatGPT? What has been upgraded? Today we will take you through the differences.
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More Accurate Text Processing
If you’ve tried chatting with ChatGPT, you must know that the ability of ChatGPT to process text has become very natural. It is able to produce sentences that are smooth and narratively natural in general conversation that you wouldn’t believe was done by AI.
But according to OpenAI’s latest announcement on their official website:
“GPT-4 is more creative and collaborative than ever before. It can generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user’s writing style.”
Means GPT-4 can work better than GPT-3.5.
According to official data, GPT-4 will be more powerful in processing text, with eight times the amount of text input and output than ChatGPT, and it can process over 25,000 single words of text.
In addition, in the past, ChatGPT was criticized for its weak logical reasoning, which has been improved in GPT-4. An example provided by the official is to let ChatGPT and GPT-4 give conclusions based on the same content and find a meeting time suitable for three people.
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Source: OpenAI
The conclusion shows that GPT-4 is more accurate than ChatGPT. In fact, ChatGPT and GPT-4 both can analyze the free time of 3 people individually, but in the stage of inferring the result, GPT-4 is slightly better than ChatGPT, which shows that the ability of GPT-4 is better than the original version.
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Support Visual Inputs
GPT-4 can accept an image input, and even classify, analyze or give descriptions for the image. This is an important breakthrough that distinguishes it from ChatGPT.
OpenAI has demonstrated its image analysis techniques in the official documentation and the Developer Livestream Video, which not only can list the elements on the image, but also give a description based on the users’ prompt.
What’s even more amazing is that it can be extended to generate HTML and Javascript websites from images. In the live video, they demonstrated feeding a web front-end design to GPT-4 and asking it to complete a website that can automatically generate jokes.
However, image inputs are still a research preview and not publicly available.
Source: OpenAI_GPT-4 Developer Livestream
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Steer ability
Both ChatGPT and GPT-4 can be used through an API. API users are required to fill in a “system message”, which can be used to set a role or direction for ChatGPT in order to restrict its style when answering questions.
OpenAI has mentioned that ChatGPT may still ignore the “system information” even if it is set. But now GPT-4 will pay more attention to “system information”, so that future developers can directly specify the style of GPT-4 and connect it to their own apps.
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Reducing the nonsense talk
ChatGPT tends to produce “hallucinations” when answering questions, due to its training mechanism based on a large amount of text data, where it generates text by predicting the next word or sentence. This training method can lead ChatGPT to lack understanding and reasoning ability in the real world, resulting in answers that do not match the facts, producing so-called “hallucinations”. The good news is that GPT-4 outperforms ChatGPT by 40% in “adversarial factuality evaluation”, indicating higher reliability.
However, GPT-4 still cannot avoid the occurrence of “hallucinations”, which is a challenge in the development of language models. One of the current research focuses is how to improve the model’s understanding and reasoning ability for knowledge and logical relationships in the real world.
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Better performance in other languages
GPT-4 outperforms ChatGPT and other language models in 24 out of 26 languages. This means that GPT-4 proficiency does not stop at English, but at other languages as well.
What is GPT and what is the secret behind the superb natural language processing?
GPT is a model dedicated to natural language processing. The full name of GPT is Generative Pre-training Transformer, which pre-trains a large neural network model to learn the statistical patterns and semantic information of natural language, and then uses this pre-trained model to fine-tune various tasks.
The GPT model can fine-tune some of its parameters based on a pre-trained model to meet the specific requirements of certain tasks.
Below are examples of training for different tasks:
📌 Language generation task: The GPT model can be used to understand input text and generate text. For example, given a starting phrase “The weather today is very”, the GPT model can automatically generate different endings such as “sunny”, “cloudy”, “rainy”, and so on.
📌 Text classification task: The GPT model can be used for text classification, such as sentiment analysis. The model can predict the sentiment (positive, negative, neutral) of a piece of text, thereby classifying the text.
📌 Named entity recognition task: The GPT model can be used to identify named entities in text and tag them, such as names of people, places, and times.
GPT-4 is now widely used within OpenAI, and it has a great impact on sales, content review, program coding, etc. It can even help to evaluate the performance of other AI.
Chat GPT triggers a “Code Red” for Google! Meta followed by the launch of “LLaMA”?
Since Microsoft has brought ChatGPT to its search engine Bing, this feature allows Bing to surpass Google in daily downloads.
As a result, Google is launching an AI powered chatbot called Bard to rival ChatGPT. Meta also revealed that they are preparing to launch a new language model called “LLaMA”.
We always thought that the world led by AI wouldn’t come, but ChatGPT shows us that AI is breaking through at an alarming rate! The future is in the hands of those who are experts in using AI.
Is AI an enemy or a friend to humanity?
Many people predicted that ChatGPT will replace certain professions, such as copywriters, customer service and programmers. However, AI is not perfect, and some users have found that ChatGPT still gives wrong information, such as referring to birds as mammals.
ChatGPT won’t kill ‘writing’, but it WILL kill ‘content’
On Medium, writer Dan Kay recently published an article titled “Chat GPT Won’t Kill ‘Writing,’ But It Will Kill ‘Content.’” He said that the internet world is made up of “content,” and that we search Google or obtain information from social media.
Chat GPT has made it easier for humans to obtain information, and everyone can become the next Einstein. There are many AI-generated content that have been created on the internet since ChatGPT was born. In the future, it may be very hard to distinguish whether the content you see today was written by a “person” or a “robot.”
However, the only thing that can be certain is that AI is the best tool for us, rather than replace. Therefore, the issue we are facing will be how to more effectively work with AI, rather than fearing it.
Official Documents:
https://openai.com/blog/chatgpt
https://openai.com/research/gpt-4
Refferences:
https://www.pentalog.com/blog/tech-trends/chatgpt-fundamentals/
https://www.makeuseof.com/openai-chatgpt-biggest-probelms/
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