Introducing GPT-4 with incredible capabilities
This model is able to accept text and image inputs at the same time and provide quality text output that reaches human-level performance in various professional and academic standards. Also, Microsoft announced that the Bing chat service will always use the GPT model. 4 has been active.
Key Points
If GPT-4 works as well as OpenAI claims, it may mark the beginning of a new and advanced era in artificial intelligence. In an announcement released by OpenAI, GPT-4 scored in the top 10 percent of participants on a simulated bar exam. Meanwhile, the GPT-3.5 score was in the lowest 10% of the participants.
OpenAI plans to offer GPT-4 text capability through its ChatGPT and commercial APIs. But first, those interested must register on the waiting list. Currently, GPT-4 to ChatGPT Plus is accessible to members. In addition, OpenAI is working with the developer of the Be My Eyes app to test GPT-4’s image processing capabilities. Be My Eyes is a smart app that can recognize and describe scenes.
Along with the introduction website, OpenAI also published a technical paper outlining the capabilities of GPT-4 and a system model card detailing its limitations.
GPT-4, short for “Generative Pre-trained Transformer 4”, is a new generation of advanced linguistic artificial intelligence models developed by OpenAI. This model is based on pre-trained transformer architecture and has significant power in generating text and answering questions.
The AI models in the GPT series are trained to predict the next token (a fragment of a word) in a sequence of tokens using large texts, mostly taken from the Internet. During neural network training, a statistical model is built that represents the connections between words and concepts. Over time, OpenAI has increased the size and complexity of each GPT model, resulting in an overall improvement in the performance of the models compared to the human way of completing text in the same scenario. However, these improvements vary depending on the type of task assigned to the AI model.
As far as performance is concerned, the performance of the GPT-4 is quite impressive. Like its predecessors, GPT-4 is capable of following complex instructions in natural language and producing technical or creative works, but it does so with greater depth: the model generates up to 32,768 tokens (about 25,000 words of text). and processing support. This capability allows for longer content creation or document analysis compared to previous models.
Compared to its previous generation ( GPT-3.5 ), the language model of artificial intelligence GPT-4 provides better performance in understanding texts and questions and has the ability to process images. These features make GPT-4 can be used in various cases such as translation, text summarization, article production, answering questions, and describing images. Some improvements to GPT-4 also include better recognition of linguistic needs and complex terminology
Announcing GPT-4, a large multimodal model, with our best-ever results on capabilities and alignment: https://t.co/TwLFssyALF pic.twitter.com/lYWwPjZbSg— OpenAI (@OpenAI) March 14, 2023
Due to its multimodal capabilities, GPT-4 can be efficient in many different fields and applications. The multimodal capabilities of GPT-4 include various capabilities that allow the model to work with a variety of inputs and perform well in different subjects. As for its multimodal capabilities (which are still limited to a research preview), GPT-4 can analyze the content of multiple images and make sense of them, such as understanding a joke from several images in a row or extracting information from a graph. As for its multimodal capabilities (still limited to a research preview), GPT-4 can analyze the content of multiple images and make sense of them, such as understanding a multi-image joke or extracting information from a graph.
Some of the multifaceted features of GPT-4 are:
Natural Language Understanding (NLP): GPT-4 can understand various texts and answer questions, summarize, paraphrase, and translate texts.
Content production: This model can produce high-quality articles, stories, poetry, and other creative texts.
Solving logical and mathematical problems: GPT-4 can solve logical and mathematical questions and provide explanations about them.
Ability to understand images: Compared to its previous versions, GPT-4 has the ability to process images and provide explanations related to them.
Interoperability with other systems: GPT-4 can interoperate with other systems and act as a natural-language user interface in a variety of environments.
Programming: This model can code in different programming languages and answer questions related to programming.
The differences between GPT-4 and GPT-3.5 are:
Better performance: GPT-4 has a better ability to understand and answer texts and questions than GPT-3.5. For example, the GPT-4 scored in the top 10% of participants on simulated bar exams, while the GPT-3.5 scored in the bottom 10% of participants.
Image processing: While GPT-3.5 only reacts to texts, GPT-4 has the ability to understand and process images as well. This feature allows GPT-4 to provide relevant and appropriate answers based on input images.
Improved Linguistic Aspects: GPT-4 has a more advanced ability than GPT-3.5 to recognize linguistic needs, complex terms, and concepts. These improvements have made GPT-4 better able to rewrite sentences and paragraphs of text and provide more appropriate summaries of texts.
Efficiency and optimization: despite the increase in GPT-4 capabilities and performance, this model has also made optimizations in terms of efficiency and resource consumption. These improvements make GPT-4 achieve results faster and with less power consumption.
Note that these differences are based on information published by OpenAI and may be different in practice.
Riley Goodside, a prompt senior engineer at Scale AI, mentioned “AGI” (artificial general intelligence) while reviewing GPT-4’s multifaceted capabilities, and Andrzej Karpati, an OpenAI employee, praised GPT-4’s ability to solve a test that he wondered about in 2012 when he proposed an artificial intelligence model for understanding funny pictures.
OpenAI has stated that it aims to develop artificial general intelligence (AGI) that can replace humans in any mental task, although GPT-4 is not yet at this level. Soon after GPT-4 was announced, OpenAI CEO Sam Altman tweeted: “The model still has weaknesses; it’s still limited, and the more you work with it, the less impressive it seems when you first use it.”
GPT-4 is great. But it still reflects the biases in its training dataset in its outputs, creates illusions (makes plausible lies), and can potentially generate false information or harmful advice.
