OpenAI has recently announced the launch of its latest language model, GPT-4, which has received significant improvements in performance and capabilities compared to its predecessor, GPT-3.5. The new model boasts enhanced language capabilities, with the ability to produce more detailed and reliable written responses, generate longer pieces of text, and even code in various programming languages.
According to Arun Chandrasekaran, an analyst at Gartner Research, GPT-4’s language capabilities could be used in various areas such as storyboarding, character creation, and gaming content creation. The model could also pave the way for more independent gaming in the future.
Additionally, GPT-4 could be used to create marketing content around game previews, generate news articles, and moderate gaming discussion boards.
In the area of app development, GPT-4 could transform the way people develop apps. Some users have already claimed to have created simple drawing apps and movie recommendation apps in a matter of minutes by following step-by-step instructions provided by the tool. Lian Jye Su, an analyst at ABI Research, believes that AI can be a good teacher in learning to code, making it easier for beginners to learn.
OpenAI has stated that while GPT-4 is “less capable” than humans in many real-world scenarios, it has exhibited “human-level performance” on various professional and academic tests. The model recently passed a simulated law school bar exam, scoring around the top 10% of test takers, a significant improvement over GPT-3.5, which scored around the bottom 10%. The latest version also performed well on the LSAT, GRE, SATs, and many AP exams.
Compared to the prior version, GPT-4 is now capable of producing longer, more detailed, and more reliable written responses. The latest version can respond to up to 25,000 words, up from about 4,000 previously, and can provide detailed instructions for even the most unique scenarios, ranging from how to clean a piranha’s fish tank to extract the DNA of a strawberry.
GPT-4 could also transform various industries by streamlining work processes. For example, legal services chatbot DoNotPay is already working on using the tool to generate “one-click lawsuits” to sue robocallers. Joshua Browder, the CEO of DoNotPay, stated that GPT-4 is significantly better at handling the job compared to GPT-3.5. Jake Kozloski, CEO of dating site Keeper, said his company is using the tool to better match its users.
However, GPT-4 has similar limitations to previous versions. The model lacks knowledge of events that occurred before its data set cuts off, and it can make “simple reasoning errors” or be “overly gullible in accepting obvious false statements from a user.” Therefore, OpenAI advises caution when using the tool, especially in high-stakes contexts.
In conclusion, the launch of GPT-4 marks a significant step forward in natural language processing technology. The model’s enhanced language capabilities, ability to code, and improved performance on various tests and scenarios could potentially transform various industries and work processes. However, the model’s limitations mean that users should exercise caution when using it, particularly in high-stakes contexts.