Dear Fellow Scholars, this is Two Minute Papers with Dr. Károly Zsolnai-Fehér. Today we are going to discuss the improvement of ChatGPT through reprogramming from the outside.
Large language models like ChatGPT can be enhanced by reprogramming them from the inside. However, in this paper, we propose a different approach. We suggest improving ChatGPT by reprogramming it from the outside, using linguistic feedback. This means giving it a stern talking to.
You may be wondering, how is this possible? Let me explain with an example. We start by asking ChatGPT a history question, and it gives an incorrect answer. Then, we ask the AI to reflect on its mistakes, and it learns from them. For example, it realizes that the answer should have been a series of wars, not just one war. With this new knowledge, we can ask the question again, and ChatGPT provides the correct answer.
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his concept of reprogramming from the outside can be applied to decision making, programming, and reasoning style questions as well. In fact, when running OpenAI's HumanEval dataset, which consists of hand-written programming problems, ChatGPT showed a significant improvement in accuracy. It went from 80% to 91% accuracy, making it the best performing AI model in the test.
This technique of reprogramming from the outside does not require modifying the internal workings of ChatGPT. Instead, it involves asking the AI to essentially write a journal and learn from past mistakes. It is a simple yet effective method of improving the AI's performance.
In Isaac Asimov's science fiction novels, he wrote about robopsychologists who were called to investigate malfunctioning robots. Today, we are witnessing the emergence of real-world robopsychologists. These experts analyze the behavior and functioning of AI systems, just like Asimov envisioned 73 years ago. It is truly an incredible time to be alive.
Moving on, ChatGPT and GPT-4 have exciting applications beyond language processing. For instance, ChatGPT can be used as a code interpreter for advanced data analysis. It can solve tasks using Python programming and even handle file uploads. It can generate code snippets and provide explanations for the solutions it proposes.
Furthermore, ChatGPT can assist in movie editing and music analysis. You can upload files for it to analyze and transform. It can perform statistical analysis and provide explanations in plain English. It is a versatile tool that continues to improve and has the potential to make programming and data analysis accessible to everyone.
In conclusion, ChatGPT has shown remarkable progress in a short period of time. By reprogramming it from the outside and leveraging linguistic feedback, we can significantly enhance its performance. With the emergence of robopsychologists and the expanding capabilities of ChatGPT, we are witnessing the realization of science fiction dreams. Exciting times lie ahead!
Thank you for watching and for your generous support. Stay tuned for more exciting developments in the world of AI!
