GPT4 (Generative Pre-trained Transformer 4) is an artificial intelligence (AI) language model tool recently introduced by OpenAI. This is a multimodal version of ChatGPT, meaning it can import and interpret images and texts.
According to OpenAI, GPT-4 is more trustworthy, innovative, and capable of handling more complex instructions than previous versions.
The text input for GPT-4 is available through ChatGPT and the API (with a waitlist). GPT-4 was trained on Microsoft Azure AI supercomputers. They are also able to distribute GPT-4 to clients all over the globe owing to Azure's AI-optimized infrastructure. OpenAI has reduced the model's propensity to respond to prohibited content requests by 82%.
What's New in GPT4?
Advanced Image Recognition and Decoding: Its ability to recognize and decode texts and images is one of GPT -4's strongest capabilities compared to other versions. This can help many different things. Any image you don't recognize can have all of its details provided. You can also ask questions about the picture, which will give you the answers.
Creating Website Pattern: It can make a functional website. You need to draw a picture of how the website should look. Then, click the picture and send it to GPT4. It will provide you with all the HTML, CSS, and JavaScript code in just 15 to 20 seconds. Further, it will be copy pasted to an editor showcasing your functional website.
Comedic Comprehension: ChatGPT 4 can now explain the jokes based on a series of images to the users and the context behind them in a detailed manner. It can accurately identify all the elements in the image, giving you the context in which the humor is based.
Flexible Scheduling: It can set the meeting's timing so that it works best for everyone and each participant is available at that time. You can achieve this by just typing how much free time each participant has and how long the meeting will last. The common availability time for everyone will then be disclosed to you.
Guided Problem-Solving: GPT4 can also be used as a personal tutor. Khan Academy has integrated its services in a more customized manner for students. It will not simply provide students with the answer but helps them step by step with the solution so that the student can answer it.
Versatile Writing Assistance: It has increased its capacity for innovation and collaboration. It can generate, edit, and work with users on creative and technical writing tasks like songwriting, screenwriting, and identifying a user's writing style. Therefore, it helps respond to users more personalized and targeted way.
Limitations of GPT4
Just like any other version of ChatGPT, GPT4 has its own limitations. Some of the limitations of ChatGPT 4 are listed below:
Handling Complex Tasks: It may struggle with complicated issues as humans do, making mistakes like adding security bugs to the code it generates. AI models may sometimes be unable to understand a situation's context to handle complicated tasks effectively.
Absence of current knowledge: Most GPT -4's data will have been turned off by September 2021. Thus it typically does not know events after that date and does not learn from its mistakes.
Low Sensitivity: By its policies, GPT-4 responds to sensitive requests such as those for medical advice and self-harm 29% more frequently than GPT-3.5. Thus, low sensitivity by an AI can limit its ability to communicate effectively with users and can lead to negative user experiences.
Overconfident Predictions: Moreover, GPT-4 can make confidently incorrect predictions while neglecting to double-check its work, which is likely to result in an error. This can lead to disappointment in the users as they will not get the expected result.
Hallucinations: There are times when GPT-4 can produce or offer content that is not entirely original. These hallucinations occur when an AI model creates content based on patterns learned from a large dataset, even when those patterns don't correspond to data.
Conclusion
To sum up, OpenAI's ChatGPT-4 is a potent AI language model that has completely changed the field of AI language models. This large multimodal model performs at human levels on various professional and academic benchmarks thanks to its improved language understanding, scalability, context preservation, multi-language support, customizable fine-tuning, few-shot learning, and safety measures.
It has various limitations, but no doubt it is far superior to its previous versions.
