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Yes, it’s out, GPT-4 is up! OpenAI has released its newest AI chatbot, GPT-4, the successor of the beloved GPT-3.5.
GPT-4 can now understand both images and text. OpenAI describes this as ‘the most recent achievement in its quest to expand deep learning.’
While OpenAI's paying customers can use GPT-4 today through ChatGPT Plus (subject to a usage limit), developers can apply to join a waiting list to access the API.
Let’s delve deeper and learn more about the newest OpenAI chatbot.
What Is GPT-4?
GPT-4 is an advanced AI model coming from OpenAI’s developers. It specializes in text and image understanding.
GPT-4 is designed to generate natural language text by analyzing and understanding input data. This model is the most recent version of the GPT series which has been widely used in a lot of apps, including language modeling, text classification, and question-answering.
When compared to its older brother (GPT-3.5), GPT-4 has a bigger training dataset and a more robust and complex architecture. This allows GPT-4 to produce better and more accurate results.
GPT-4 has the ability to perform a wide array of tasks, such as language translation, summarization, and even creative writing.
How Does GPT-4 Work?
Let’s start by explaining GPT-4’s architecture. GPT-4’s architecture is made of a transformer-based neural network that employs multi-head attention and feedforward layers.
This structure allows the model to effectively learn from a large amount of data and generate outputs that are both coherent and natural-sounding. GPT-4's training process involves pre-training on a massive amount of diverse data, which allows it to understand and generate text that resembles human language.
During inference, GPT-4 processes input data in a series of token embeddings and uses its trained model to generate output text.
The input can be either plain text or a combination of text and images, and GPT-4's output can be tailored to specific tasks, such as text completion, question answering, or even content creation.
GPT-4 Pricing
If you’d like to start using GPT-4, keep in mind that it costs $0.03 for every 1,000 tokens of ‘prompt’ text. This is somewhere around 750 words. For every 1,000 tokens of ‘completion’ text, also equivalent to around 750 words, you’d have to set aside $0.06.
Tokens are actually the raw text input and they are derived by dividing the text into smaller units, such as ‘fan’, ‘tas’, and ‘tic’, for example.
Prompt tokens are the segments of text that are fed into the model, while completion tokens are the resulting text generated by the model.
GPT-4: Main Uses
GPT-4 has a wide range of potential applications in various industries, including healthcare, finance, and entertainment.
- In healthcare, GPT-4 could be used to generate automated medical reports, patient summaries, and even medical prescriptions.
- In finance, GPT-4 could aid in automated data analysis, risk assessment, and investment decision-making.
- In entertainment, GPT-4 could be used for content creation, such as writing articles, scripts, and even songs.
Real-world scenarios in which GPT-4 could be applied include chatbots, voice assistants, and search engines. However, as with any new technology, GPT-4 raises concerns about its impact on the job market, privacy, and bias in AI systems.
Therefore, it is crucial to consider the potential ethical implications of its widespread use and address them appropriately. Businesses should not forget that humans need to be put first!
Knowledge Data Cutt-Off From September 2021
OpenAI has also stated that GPT-4 generally lacks knowledge of events that have happened after its data cut-off in September 2021. Allegedly, this model also won’t learn new things from its experience (even if users try to feed it manually).
According to OpenAI:
“It can sometimes make simple reasoning errors which do not seem to comport with competence across so many domains or be overly gullible in accepting obvious false statements from a user. And sometimes it can fail at hard problems the same way humans do, such as introducing security vulnerabilities into code it produces.”
According to OpenAI, while GPT-4 represents an overall improvement compared to its predecessor, GPT-3.5, the company has made specific improvements in certain areas.
For instance, GPT-4 has shown a lower likelihood of complying with requests related to synthesizing hazardous chemicals.
In general, it is 82% less likely to respond to requests for content that is considered "disallowed."
Additionally, GPT-4 responds in adherence to OpenAI's policies on sensitive topics such as medical advice and self-harm, 29% more frequently than its predecessor, GPT-3.5.
Final Words
GPT-4, without a doubt, represents a huge milestone in the development of AI language models. Its improved capabilities and enhanced performance clearly signal that this model has the potential to revolutionize a wide range of industries and applications.
After all, OpenAI claims that GPT-4 is a ‘multimodal state-of-the-art AI solution’ and that on its own is strong enough to convince enthusiasts to give it a chance.
However, the officials have also stated that like its predecessors, GPT-4 is still not 100% reliable and may invent facts or make reasoning errors. Test it out and try it but do so carefully.
