Multimodal learning system: GPT-4 has a multimodal learning system that can understand more types of information than ChatGPT and GPT-3, not just reading and writing text. It can recognize and process images to find relevant information, and can describe patterns in images, identify plants, translate stickers, read maps, and other tasks, showing its true understanding of images.
Stronger language capabilities: GPT-4's language processing capabilities are stronger than ChatGPT and GPT-3, and can better understand and use natural language. This means that GPT-4 can better have natural conversations with humans and generate more accurate language texts.
Higher speed and efficiency: GPT-4 is faster than GPT-3 and can complete more complex tasks in a shorter time. This can make it useful in a wider range of application scenarios.
Better generalization ability: GPT-4 has better generalization ability and can better cope with unseen situations and problems. This allows GPT-4 to be used in more application scenarios and provide more accurate results.
Better self-learning ability: GPT-4 can continuously improve its performance by constantly learning and adapting. This allows it to continuously optimize and improve in different application scenarios and provide better services and experiences.
GPT-4 is harder to fool
Most of today’s chatbots tend to get lost easily. The questioner simply tries to convince them that they are not doing anything wrong so that the AI can help and assist them in doing something wrong.
However, in GPT-4, this limitation has been overcome. According to reports, GPT-4 was trained with a large number of malicious prompts collected by OpenAI from its own applications over the past two years. Therefore, the new model is definitely better than Open AI's predecessor in terms of "authenticity, controllability, and rejection of content."
As OpenAI describes, GPT-3.5 (which powers ChatGPT) is a “test run” where they learn from new versions, so it can be said that GPT-4 is an “unstable” version from Open AI.
GPT-4 has more memory
Large language models are trained using millions of data points from websites, books, and other texts. However, they are still limited by what they can "remember" when actually talking to users.
Earlier versions of GPT-3.5 and ChatGPT had a limit of 4,096 "tokens," which is roughly equivalent to 8,000 words or about 4-5 pages of a book. However, in the new version, GPT-4 has a maximum of 32,768 tokens, which means about 64,000 words or 50 pages of text, enough to write an entire script or short story. In addition to expandable memory, GPT-4 also brings many other useful text processing features to users.
GPT-4 supports more languages
In fact, English is the dominant language of AI, used in everything from data to experiments to research papers. However, while any major language model can be applied to any written language, GPT-4 has gone a step further by demonstrating that it can answer thousands of multiple-choice questions with high accuracy in 26 languages, from Italian to Ukrainian to Korean.
However, initial tests of GPT-4's language capabilities, while promising, will still require more time for the model to fully grasp the meaning of each language. But the fact that GPT-4 does an excellent job without actually training itself suggests that GPT-4 will be more user-friendly than most people who don't speak English very well.
GPT-4 has a different personality
“Manipulator” is an interesting concept in AI, referring to the ability to change its behavior at the request of the requester, such as acting as a sympathetic listener.
GPT-4 integrates more local controls than GPT-3.5, and users can change their "ChatGPT personality in a fixed tone and style" to something that better suits their needs "within limits."
This can be done by baiting the chatbot, such as sending "Please reply as a candidate..." Because the developers building GPT-4 can have additional perspectives, conversational styles, tones, or interaction patterns to meet the requirements of the requester.
Current issues with GPT-4
Recently, however, OpenAI itself warned users to be “extremely careful” when using GPT 4, adding that GPT-4’s limitations posed a safety challenge.
“It’s still buggy, still limited. Yet it still feels impressive to use,” OpenAI CEO Sam Altman wrote on Twitter. Prior to the announcement, Altman sent a message to his Twitter followers: “We really appreciate feedback on its shortcomings.”
However, recent hype and rapid development of AI has sparked controversy over whether responsibility is truly being taken, as companies focus solely on protecting privacy to race against rivals in the tech world.
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