Tyler Weitzman, cofounder, President and Head of AI at Speechify.
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The newest version of OpenAI’s language model system, GPT-4, was officially launched on March 13, 2023 with a paid subscription allowing users access to the Chat GPT-4 tool. As of this writing, full access to the model’s capabilities remains limited, and the free version of ChatGPT still uses the GPT-3.5 model.
Overall, GPT-4 seems more functional, responsive and safer than GPT-3 or GPT-3.5. Still, with Microsoft’s Bing Chat using the GPT-4 language model, and the company facing many complaints and criticism about some of Bing Chat’s strange responses, it’s fair to say that these limitations dampen any expectation of GPT-4 being an out-of-the-box “revolution.”
OpenAI’s CEO, Sam Altman, even said in an interview that some people will be disappointed with the GPT-4’s release, as there won’t be anything mind-blowing in it. Overall, though, I think the significant reduction in limits shows a promising trajectory for the technology, and its capabilities in multiple business domains stand to both benefit and disrupt many industries.
As the co-founder and head of AI at my company, I have been following the development of ChatGPT closely. Here’s what I see the recently released GPT-4 having to offer those looking to be at the forefront in their industries.
Impressionable Real-World Results: Uses In Business
According to OpenAI, GPT-4 “passes a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT-3.5’s score was around the bottom 10%.”
On Twitter, I’ve seen many developers testing out GPT-4 with requests for it to code old-school arcade games. While GPT-3 often provided buggy code that needed re-prompting, GPT-4 in many cases gives perfectly working code to start.
One Twitter user reported recreating Snake, a popular classic game, in twenty minutes in GPT-4 without any know-how of JavaScript.
While some see it as potentially concerning for programmers, my company is considering allowing candidates to use it in interviews since they’ll be expected to utilize it on the job.
There are legitimate concerns, though, and some big tech companies have banned the use of it for engineering out of fear that their private company code will make its way into the hands of OpenAI to train future models. Even with this in mind, there is plenty the tool has to offer.
Image Processing
Unlike GPT-3.5, the newest model accepts images as input alongside text instructions. For example, users can input a handmade sketch into the AI chatbot, and it will transform the sketch into a functional web page.
Businesses can also use the image processing feature to:
• Enhance customers’ shopping experience through personalized visual recommendations and searches.
• Improve customer service with better chatbot engagement.
• Optimize their content and flag inappropriate images quickly.
• Create captions and otherwise improve accessibility.
Longer Text Processing
Large language models like GPT have a restricting context window. This context window is quite limiting since it means that GPT can’t be easily used to generate something like a whole novel all at once.
The new GPT-4 model has a long-form mode that offers a context window of 32,000 tokens (52 pages of text). That’s more than an order of magnitude larger than the previous GPT-3 API that offered only 2,049 tokens (three pages of text).
For example, you could input a website’s URL in GPT-4 and ask it to analyze the text and create engaging long-form content. Or you could give it a 30-page lawsuit and ask it to analyze it.
Businesses can also use GPT-4 for financial analysis, cost-effective medical diagnosis, identifying vulnerabilities in cybersecurity systems and as a way to analyze business plans.
GPT-4 specifically improved on being able to follow the “system” message, which you can use to prompt the model to behave differently. With this, you can ask GPT to adopt a role, like a software developer, to improve the performance of the model.
Factual Responses
OpenAI claims that GPT-4 is safer and more responsive than previous models. During the company’s testing, it was “60% less likely to make stuff up.”
There are still some limitations, though. Like its predecessors, GPT-4 can still confidently give “hallucinated” facts and make multiple reasoning mistakes. This is concerning since users can learn to rely on the model being accurate most of the time.
To overcome this, I recommend businesses establish robust systems to review and verify information in the GPT-4-generated content before publishing it or passing it forward.
Another limitation is the lack of knowledge of events after September 2021. This deprives the users of the latest data.
To effectively utilize the latest update, it’s important for business leaders to acknowledge the prospect of detrimental advice, buggy lines of code and inaccurate information.
How Can Businesses Use GPT-4 To Thrive In An AI-Powered World?
The first thing I believe businesses must do is develop a team with extensive AI knowledge to optimize the use of the tool. To excel in this AI-driven world, your company can:
• Stay up-to-date. As a business, keep an eye on all the latest improvements with GPT-4. Keep experimenting with new features to learn how to get more accurate responses and integrate them into your business operations to enhance your overall performance.
• Prioritize users. User experience is the topmost priority of every customer-centered business. So, ensure your AI chatbot has a simple, easy-to-use interface that offers helpful information to customers. Leveraging customer feedback will help you optimize the chatbot’s responses.
• Review your work. GPT-4 can produce accurate responses based on your prompts. With increased mathematical abilities, it can be given sheets of data and infer conclusions. Have it review code and analyze documents to evaluate if there are ways to optimize your final product.
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