GPT-4 can solve difficult problems with greater accuracy, thanks to its broader general
knowledge and problem solving abilities.
Visual input
Creativity
Longer context
GPT-4 can accept images as
inputs and generate captions,
classifications, and analyses.
Input
What can I make with these ingredients?
Output
There are many options for what you can make with these ingredients! Some possibilities include:
- Pancakes or waffles
- Crepes
- French toast
- Omelette or frittata
- Quiche
- Custard or pudding
- Cake or cupcakes
- Muffins or bread- Cookies or biscuits
These are just a few examples, but the possibilities are endless!
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.
Input
Explain the plot of Cinderella in a sentence where each word has to begin with the next letter in the alphabet from A to Z, without repeating any letters.
Output
A beautiful Cinderella, dwelling eagerly, finally gains happiness; inspiring jealous kin, love magically nurtures opulent prince; quietly rescues, slipper triumphs, uniting very wondrously, xenial youth zealously.
GPT-4 is capable of handling over 25,000 words of text, allowing for use cases like long form content creation, extended conversations, and document search and analysis.
Input
[Text from: https://en.wikipedia.org/wiki/Rihanna]
Describe her Super Bowl performance and what made it special.
Output
Rihanna's Super Bowl LVII halftime show performance was special for a number of reasons. For one, it marked her first live performance in over five years, and it was her first time headlining the Super Bowl halftime show. Additionally, she made history by becoming the first person to perform at the Super Bowl while pregnant. The show itself was critically acclaimed, with many praising her high-energy performance and impressive vocals. It also garnered a massive viewership, becoming the second most-watched halftime show in history.
GPT-4 surpasses GPT-3.5 in its advanced reasoning capabilities.
GPT-3.5
Input
Andrew is free from 11 am to 3 pm, Joanne is free from noon to 2 pm and then 3:30 pm to 5 pm. Hannah is available at noon for half an hour, and then 4 pm to 6 pm. What are some options for start times for a 30 minute meeting for Andrew, Hannah, and Joanne?
Output
Here is a list of their availability:
- Andrew: 11 am to 3 pm
- Joanne: noon to 2 pm, and 3:30 pm to 5 pm
- Hannah: noon to 12:30 pm, and 4 pm to 6 pm
Based on their availability, there is a 30-minute window where all three of them are available, which is from 4 pm to 4:30 pm. So, the meeting can be scheduled at 4 pm.
GPT-3.5
Input
Andrew is free from 11 am to 3 pm, Joanne is free from noon to 2 pm and then 3:30 pm to 5 pm. Hannah is available at noon for half an hour, and then 4 pm to 6 pm. What are some options for start times for a 30 minute meeting for Andrew, Hannah, and Joanne?
Output
Andrew: 11 am - 3 pm
Joanne: 12 pm - 2 pm, 3:30 pm - 5 pm
Hannah: 12 pm - 12:30 pm, 4 pm - 6 pm
Common availability for a 30-minute meeting: 12 pm - 12:30 pm
GPT-4 outperforms GPT-3.5 by scoring in higher approximate percentiles among test-takers.
90th
GPT-4
Uniform Bar Exam
10th
GPT-3.5
Biology Olympiad
31st
GPT-3.5
99th
GPT-4 (with vision)
Following the research path from GPT, GPT-2, and
GPT-3, our deep learning approach leverages more
data and more computation to create increasingly
sophisticated and capable language models.
We spent 6 months making GPT-4 safer and more aligned.
GPT-4 is 82% less likely to respond to requests for disallowed
content and 40% more likely to produce factual responses
than GPT-3.5 on our internal evaluations.
Safety & alignment
Training with human feedback We incorporated more human feedback, including feedback submitted by ChatGPT users, to improve GPT-4’s behavior. We also worked with over 50 experts for early feedback in domains including AI safety and security.
Continuous improvement from real-world use We’ve applied lessons from real-world use of our previous models into GPT-4’s safety research and monitoring system. Like ChatGPT, we’ll be updating and improving GPT-4 at a regular cadence as more people use it.
GPT-4-assisted safety research GPT-4’s advanced reasoning and instruction-following capabilities expedited our safety work. We used GPT-4 to help create training data for model fine-tuning and iterate on classifiers across training, evaluations, and monitoring.
We’ve collaborated with organizations building innovative products with GPT-4.
Built with GPT-4
More on GPT-4
Research
GPT-4 is the latest milestone in OpenAI’s effort in scaling up deep learning.
View GPT-4 research
Infrastructure
GPT-4 was trained on Microsoft Azure AI supercomputers. Azure’s AI-optimized infrastructure also allows us to deliver GPT-4 to users around the world.
Limitations
GPT-4 still has many known limitations that we are working to address, such as social biases, hallucinations, and adversarial prompts. We encourage and facilitate transparency, user education, and wider AI literacy as society adopts these models. We also aim to expand the avenues of input people have in shaping our models.
Availability
GPT-4 is available on ChatGPT Plus and as an API for developers to build applications and services.
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GPT-4
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