The American Artificial Intelligence Laboratory intends to promote and develop a user-friendly AI. One of the most famous creations of OpenAI has been the emergence of ChatGPT, an AI bot that answers all your questions and queries in minutes. ChatGPT has been infused with the latest information within its algorithm, enabling it to provide you answers to any given question. However, with technological advances, OpenAI has launched yet another innovation, GPT-4, as its latest milestone. The new AI model has been considered the most recent member with improved capabilities.
Accordingly, OpenAI delivers a summary of GPT-4’s abilities as its latest announcement. Want to know what GPT-4 is capable of and how it is different? Read below:
What will GPT-4 OpenAI be capable of?
GPT-4, the latest innovation by OpenAI, is the multilanguage model capable of taking image and text inputs and emitting text outputs. While the model is less capable than humans in the real world, OpenAI says its AI has ‘human level performance’. It implies that GPT-4 can exhibit human-level performance at a professional level. Accordingly, it is more reliable, feasible, and creative than GPT3.5 and can intake nuanced information.
OpenAI has conducted tests focusing on various benchmarks to test the differences between the two models. This includes using the most recent publicly executed exams like Olympiads or purchasing practice papers for 2022-23. Additionally, GPT-4 was able to evaluate focusing on traditional benchmarks for machine learning models. Consequently, GPT-4 outperforms all the large language models that exist.
While most ML benchmarks write in English, OpenAI uses Azure Translate to sense GPT-4’s capability to translate 14,000 multiple-choice questions across 57 subjects. GPT-4 was found to outperform the English language performance of GPT-3.5 in 24 out of 26 languages that were tested.
What’s New with GPT-4?
As OpenAI announces GPT-4 AI language model, it is essential to notice that various new features are making the new model different from GPT-3.5. Unlike GPT-3.5, GPT-4 accepts visual inputs in texts and images, enabling the user to specify any visual-based task. Accordingly, it can provide text outputs given the text and image input. GPT-4 can operate through a range of domains, from text-based documents to those with images, diagrams, or screenshots, and reflect similar capabilities to text-based input. Therefore, GPT-4 is different because it has the new functionality of describing images, is exact and accurate in summarising an article, and includes humor in it.
GPT-3 version has been faced with huge issues of going off the rails while generating outputs that were quite alarming. OpenAI said that it had spent 6 months training the GPT-4 model using lessons from an “adversarial testing program” and ChatGPT. Eventually, the results ensure factuality and higher steerability and, therefore, refuse to go off the rails.
ChatGPT or GPT-3.5 model of Open AI could produce only 8,000 words of information at a time. However, with developments and innovation by the start-up, GPT-4 can have 64,000 words in a conversation. Therefore, GPT-4 is different because of its ability to process a large amount of information. Similar to the previous GPT models, GPT-4 is also not immune to the potential challenges and limitations that might come with the innovation. While the demo of GPT-4 proves there are higher advancements in the model, concerns remain.
Potential Challenges and Limitations of GPT-4
One of the most significant risks or challenges for GPT-4 is in relevance with hallucinations. Users may sometimes find GPT-4 generating false or inaccurate information and harmful or abusive content, which may have severe outcomes. Accordingly, users must be highly aware of the information they try to generate from the language model.
Wrapping Up!
As OpenAI delivers a summary of GPT-4’s abilities, you can find the new language model to be more reliable and feasible than the GPT-3.5 model. Moreover, as OpenAI releases GPT-4 for paid users, it finds its relevance in delivering human-level performance effectively. The level of accuracy of the information generated and the number of text provided is higher than the previous ones.
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