EXPLORING GPT-4: THE NEXT LEAP IN NATURAL LANGUAGE PROCESSING

With the debut of ChatGPT, its use cases brought a wave of hype and buzz across the internet. Its abilities to write articles, analyze text, perform complex calculations and generate code in a short time have led to numerous conversations on its benefits as well as concerns regarding Now, less than 4 months after its release comes the release of its Successor GPT-4. GPT-4, the next iteration of the Generative Pre-trained Transformer language model, is one of the most anticipated developments in artificial intelligence. Building on the impressive capabilities of its predecessors, GPT-4 pushes the boundaries of what is possible with natural language processing. With the ability to understand, interpret, and generate language at a level that approaches human proficiency, GPT-4 has the potential to revolutionize a wide range of industries, from healthcare and finance to entertainment and education. In this article, we will explore what we know about GPT-4 so far, what its potential implications are, and what challenges it may face.

‍GPT-4

GPT-4 is the next generation of Generative Pre-Trained Transformer language developed by OpenAI. It builds on the technology of ChatGPT, which uses GPT-3.5, a deep learning algorithm based on artificial neural networks. GPT-4's advancements are mainly in creativity, visual input, and longer context making it a “multimodal” system. OpenAI claims that it excels in creating and collaborating on various projects, including music, technical writing, and screenplays, as well as mimicking a user's writing style. Furthermore, OpenAI reports having significantly bolstered security efforts on the new internet sensation.

‍How is it different from chatGPT?

‍The question that is at the forefront of most people's thoughts is: What sets GPT-4 apart? This is precisely what we will examine. Although GPT-4 is developed from its predecessor, one of the primary distinctions is its method of interaction. While ChatGPT is exclusively a text-based language model, GPT-4 is multimodal, enabling it to receive input from both text and images. In terms of response, ChatGPT is able to provide responses limited to 3,000 words while GPT-4 is capable of providing responses of up to 25,000 words. In addition, GPT-4 has been trained extensively in order to provide a more dynamic and human-like response.

OpenAI said: ”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.”

‍On the Security front, OpenAI has incorporated feedback from users of chatGPT. The safety research and monitoring system for GPT-4 has incorporated real-world applications of the previous models. Similar to ChatGPT, GPT-4 will undergo regular updates and enhancements as it is used by an expanding user base.Currently, GPT-4 is only accessible through the paid subscription of $20 to ChatGPT Plus. It is also available as API for developers to build applications and services.If you want to get started with GPT-4 right away, the easiest way to do so is by trying it out in Bing Chat. Microsoft has integrated GPT-4 into Bing Chat, which is a free service.

‍Use Cases‍

Undoubtedly, the imminent release of GPT-4 has caused the greatest excitement among developers. In the last three months, we have witnessed developers increasingly automating tasks and producing code with this cutting-edge technology, positioning it as the ultimate tool for developers. Despite some developers fearing that AI could replace their jobs, we will delve into this matter later. For the moment, we will explore some of the potential applications of GPT-4. Here are some potential implementations of GPT-4:

1. Chatbots and Virtual Assistants: GPT-4 could be used to create chatbots and virtual assistants that are more intelligent and capable of understanding and responding to human language more accurately and naturally.

2. Content Generation: GPT-4 could be used to generate high-quality content, such as articles, product descriptions, and social media posts, with minimal human input. This could save time and resources for content creators and publishers.

3. Personalization: GPT-4 could be used to personalize content and experiences for users, based on their preferences and behavior. For example, a news app could use GPT-4 to recommend articles based on the user's interests and reading history.

4. Language Translation: GPT-4 could be used to improve language translation by providing more accurate and natural-sounding translations between languages.

5. Medical Diagnostics: GPT-4 could be used to help doctors and healthcare professionals analyze patient data and make more accurate diagnoses based on natural language input.

6. Education: GPT-4 could be used to create intelligent tutoring systems that can provide personalized and adaptive learning experiences for students, based on their abilities and learning styles.

7. Sentiment Analysis: GPT-4 could be used to analyze large volumes of social media and other online content to determine sentiment and track public opinion on various topics.

These are just a few possible implementations of GPT-4, and there are likely to be many more as the technology evolves and becomes more widely adopted. Several companies, including Duolingo, Be My Eyes, Stripe, and Khan Academy, have already integrated the new model into their platforms. The first public demonstration of GPT-4 was also streamed live on YouTube, showcasing its impressive new features.

‍Milestones with GPT-4

‍To show off GPT-4’s capabilities, OpenAI showcased some of its feats. GPT-4 surpasses ChatGPT by achieving higher percentiles among test-takers, as indicated by test scores.GPT-4 demonstrated superior performance compared to its predecessor in the Uniform Bar Exam, achieving a remarkable score in the 90th percentile, while ChatGPT scored in the 10th percentile. Similarly, in the Biology Olympiad, GPT-4 scored in the 99th percentile, outperforming ChatGPT's score of the 31st percentile.During the demo, they showed it could take a photo of a hand-drawn mock-up for a simple website and create a real one.

Possible Implications

‍As with chatGPT, concerns and conversations were raised regarding the use of such a powerful AI tool. Case 1: GPT-4's ability to generate highly convincing, coherent, and comprehensive language could have significant consequences for fields such as journalism, creative writing, and education. However, it also raises concerns about the potential misuse of such a powerful tool, including the possibility of generating fake news, disinformation, or deep fakes. Case 2: While GPT-4 has the potential to offer many benefits to the education system, such as providing personalized learning experiences, aiding in language learning, and enhancing teacher-student interactions. However, there are also concerns that need to be addressed, including Dependence on technology, Accuracy and Bias, Cheating, and also privacy and security.These are but a cross-section of the possible concerns that have arisen from intuitive AI models such as GPT-4. Nonetheless, OpenAI has made a considerable effort to address some of the ethical and safety concerns around GPT-4, including creating a team to monitor its use and developing tools to detect potential misuse. However, some experts argue that these measures may not be sufficient to prevent harm.

‍Challenges

‍Despite the impressive capabilities of GPT-4, it still has its limitations, which OpenAI acknowledges. Hence, there is no need to worry; Skynet will never dominate the world.

OpenAI stated: ”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.”

According to OpenAI, GPT-4 has similar limitations as its prior versions and is "less capable than humans in many real-world scenarios". Inaccurate responses known as "hallucinations" have been a challenge for many AI programs, including GPT-4.

‍Summary

‍GPT-4, the successor of ChatGPT, has been released by OpenAI, and it boasts significant improvements. GPT-4 is a “multimodal” system that can receive input from both text and images, making it different from its predecessor. GPT-4 has been developed with the capability to understand, interpret and generate language at human-like proficiency, which makes it suitable for several industries, including finance, healthcare, education, and entertainment.Although some concerns still linger regarding the use of a powerful tool such as GPT-4, we have seen steps taken to avoid unfortunate scenarios. OpenAI has significantly bolstered the security of the language model, making it safer and more aligned. Its potential applications include content generation, personalization, sentiment analysis, language translation, medical diagnostics, education, chatbots, and virtual assistants, among others. Thank you for reading.