Why GPT 4 leaves GPT 3.5 in the dust.

Why GPT 4 leaves GPT 3.5 in the dust.

The GPT-4 blog discusses the latest advancements in the natural language processing field, highlighting the enhanced capabilities of GPT-4.

OpenAI's latest model, GPT-4, represents a groundbreaking achievement in the field of deep learning. This large multimodal model has the ability to process both image and text inputs and generate human-like text outputs. It has demonstrated exceptional performance on various professional and academic benchmarks, exhibiting human-level proficiency. Through six months of iterative alignment utilizing adversarial testing and ChatGPT, GPT-4 has achieved unprecedented results in terms of factuality, steerability, and staying within guardrails. In this blog post, we will delve deeper into the features and potential applications of this impressive new tool.

What's New in GPT-4?

GPT-4 has the ability to perform various NLP tasks effectively without requiring task-specific training. This makes it a valuable tool for developers and academics looking to create NLP applications quickly and easily. GPT-4 has shown improved performance in tasks like language production, translation, summarization, and question-answering.

    1. Multimodal inputs : GPT-4 represents a significant advancement in AI models due to its ability to accept multimodal inputs. As a multimodal model, GPT-4 is capable of processing more than just text, enabling it to analyze images and generate captions, classify photos, and examine objects within a frame. This marks a significant upgrade from previous models, as GPT-4 can incorporate multiple modes of data to produce more accurate and nuanced outputs.
  • This means it's super smart and can understand more about the world around us. With GPT-4, you can feed it a picture and it'll tell you what's in it, or even generate a catchy caption for you. It's like having a virtual assistant that can read your mind and help you make sense of everything. Plus, it's more accurate and detailed than ever before, so you know you're getting the best possible results. It's a game-changer for AI, and you don't want to miss out!


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    1. Increased safety and accuracy : GPT-4 boasts improved safety and accuracy, thanks to the efforts of expert teams and researchers who fine-tuned the model to minimize potential abuse. Compared to its predecessor, GPT-3.5, GPT-4 achieves 40% higher accuracy while being 82% less likely to generate illicit content. These enhancements reflect the increased emphasis on safety and ethical considerations in AI development, demonstrating GPT-4's commitment to responsible AI practices.
    1. Longer text input : GPT-4's ability to process text inputs of over 25,000 words represents a significant improvement from previous models. With this extended capacity, GPT-4 can facilitate more complex conversations, enable long-form content creation, and enhance text-search capabilities. The ability to handle such lengthy inputs also opens up new possibilities for applications in various fields, including journalism, legal research, and data analysis.
    1. Enhanced problem-solving abilities : GPT-4 showcases remarkable problem-solving abilities that surpass its predecessor, GPT-3. In simulated tests, GPT-4 performed exceptionally well, scoring in the 90th percentile on the Bar exam and in the 99th percentile on the Biology Olympiad. This impressive feat highlights the model's capacity to excel in professional and academic tasks that require critical thinking, reasoning, and problem-solving skills.

GPT-4 vs GPT-3: The Face-Off

  1. Improved Comprehension of Complex Prompts :
  • According to OpenAI, it may not be immediately apparent how GPT-4 differs from GPT-3.5. However, the true capabilities of the latest model are evident when examining the fine details. In order to demonstrate this difference, GPT-4 was compared to GPT-3.5 in a series of human-level exams using the most recent publicly available tests. No specific training was given to the models for these tests.


  • In all of the tests, GPT-4 surpassed its predecessor and achieved higher scores. Although some exams (such as SAT EBRW) only showed a slight improvement, there was a significant leap in performance in others (such as Uniform bar exam, AP Chemistry, etc.). OpenAI reported that "GPT-4 is also more dependable, imaginative, and capable of comprehending more nuanced instructions than GPT-3.5." As a result, chatbots powered by GPT-4 can effectively comprehend complex prompts with ease.
  1. Significantly Larger Input Capacity :
  • While GPT-3 and GPT-3.5 were highly acclaimed, users were limited in the length of inputs they could provide. The arrival of GPT-4 has resolved this issue with an impressive 25,000-word input capacity, which is exponentially larger than its predecessors. For comparison, GPT-3.5 was limited to just 8,000 words. This increased input capacity means that users can provide chatbots with much longer input prompts for the AI to process and generate more detailed responses. This feature will make it easier for developers to create new APIs and documentation for chatbots, as well as help them write code or debug existing code more efficiently.
  1. Expanded Language Support :
  • While ChatGPT has primarily served English speakers worldwide, GPT-4 expands its language capabilities to include over 26 languages, such as Ukrainian, Korean, and Germanic languages, among others. OpenAI conducted tests to verify this expanded language support, translating MMLU benchmarks into different languages. Out of the 26 languages, GPT-4 performed better than GPT-3.5 in 24 of them.


  1. Controlled Personality :
  • One of the new features of GPT-4 is steerability, which allows users to instruct the AI to act in a certain way with a fixed tone of speech. For example, a user can ask ChatGPT to act like a cowboy or a police officer. OpenAI has improved this feature in GPT-4, making it more difficult for the AI to break character. Developers can now define their AI's personality in the "system" message, ensuring that the AI stays in character. OpenAI is also working on improving the security of these messages.


  • In one demo, a user attempted to get GPT-4 to stop being a Socratic tutor and simply provide an answer to their question, but the AI refused to break character. This showcases how developers can expect their bots to remain consistent in their personalities and behavior once trained with specific instructions.

Endless possibilities with GPT-4

GPT-4 has the potential to facilitate a variety of language-based technologies such as chatbots, virtual assistants, knowledge bases, and machine translation systems, which could improve and automate numerous language-based operations.

  1. A visual assistant for people with visual impairment👏🏽 :
  • OpenAI has partnered with Be My Eyes, an app designed for the visually impaired. The integration of GPT-4 into the app allows users to take a photo of their surroundings, and the AI can provide a detailed description of what's on the screen, including items such as clothing, plants, gym equipment, maps, and more.


  1. GPT-4 for the sciences and in particular drug discovery :
  • GPT-4 has the potential to revolutionize the field of drug discovery. The process of discovering new drugs involves screening millions of compounds to identify those that are most likely to be effective in treating a particular disease. This process is time-consuming and expensive, as many compounds need to be tested before one is found to be effective. GPT-4 can assist in this process by predicting the properties of compounds and identifying those that are most likely to be effective.
  1. Revolutionizing Education with AI :
  • GPT-4 has the potential to revolutionize the education sector by enhancing the learning experience of students. With its ability to understand natural language and generate coherent responses, GPT-4 can be used as a virtual teaching assistant. It can help students with their homework, answer their questions, and provide personalized feedback on their work.


  1. Enhancing Code Generation with GPT-4 :
  • GPT-4's natural language processing capabilities can also be applied to code generation. The AI language model can be trained to generate code based on natural language descriptions of what a program should do. This has the potential to significantly simplify the coding process, as developers can simply describe what they want the program to accomplish in natural language, and GPT-4 can generate the necessary code.


  1. Khan's Academy :
  • Khan Academy has teamed up with GPT-4 to create an AI assistant called Khanmigo, revolutionizing the world of education. This virtual mentor and teacher's assistant is set to assist both students and educators in the classroom. The platform started evaluating GPT-4 in 2022 and will soon offer the Khanmigo pilot program to a select group of individuals, with the general public on a waitlist.

  • GPT-4's initial evaluations suggest it can help students understand the wider significance of their studies and teach them computer programming concepts. Khan Academy is also exploring ways for educators to use GPT-4 to design class materials. With GPT-4's advanced language capabilities, Khanmigo is set to take online learning to the next level, providing students with personalized learning experiences like never before.


GPT-4 is the new kid on the block in the field of natural language processing. It's a game-changer that can take language-based applications to the next level. This tool is the real deal, and it's only going to get better with time. You can expect some crazy advancements in the years to come, and it'll be exciting to see how it evolves.

With GPT-4, the possibilities are endless. It can revolutionize the way we interact with language-based applications. We're talking about cutting-edge technology here, folks. The kind that'll make you wonder how you ever lived without it.

Get ready to be blown away by GPT-4. It's going to be the talk of the town for a while, and for good reason. This tool has the potential to change the game in a big way. The future is looking bright for NLP with GPT-4 leading the way.