Harness ChatGPT For Your Company Through AI Experts

It seems like artificial intelligence (AI) is on everyone’s minds. With good reason, too. It’s exciting, mysterious, amazing, and at times even a little frightening. While the full possibilities of this technology have yet to be revealed, what we’ve seen so far is promising.

AI has the potential to change the way we work—if we can just learn how to work it.

ChatGPT is one of the most talked-about and easily accessible ways to begin incorporating AI into everyday business. If you’ve never used a generative AI tool like this before, though, the results you get can be a mixed bag. Sometimes the output will be great; other times you wind up with code that breaks your website or a piece of content riddled with inaccuracies.

You can bring ChatGPT productivity gains to your company in the next 30 to 60 days. Here’s how—and why you’ll want to.

Why your company will want to embrace AI

Even if you’re not yet on board with AI, your competitors are. An MIT Technology Review survey of CIOs and other tech leaders found that more than 50% expect AI use to be widespread in their operations by 2025. These leaders also expect to increase spending on AI platforms by 69% in the same time period.

We are at a pivotal point in technology—not unlike the one that occurred when business and the internet intertwined more than 20 years ago. Widespread internet access fundamentally changed the way many businesses operated, used data, and made decisions. AI has the potential to create this kind of seismic shift, too.

“Don’t be afraid of AI. It’s a tool that will help us, just like everything that came before it. Learn to use it.”
—Paul Hunkin, Developer and IT professional

By embracing what ChatGPT can do for your  business, you aren’t turning over your company to the machines. Instead, you’re strategically leveraging a tool—because that’s really all it is—to help your teams work more efficiently. To paraphrase what Harvard professor Karim Lakhani often says, machines aren’t going to swoop in and fully replace humans. But humans who know how to work with machines could replace those humans that don’t.

Right now, AI programs—including GenAI tools like ChatGPT—aren’t great at content quality control or making strategic decisions. They are good, however, at automating  repetitive tasks like compiling data, writing code, brainstorming ideas, providing customer service responses and searching for information.

And AI handles those tasks, your team members are free to focus on creative, strategic, and critical revenue-driving work.

Can you really trust what an AI tool produces?

It’s true that GenAI tools like ChatGPT sometimes produce what AI experts call “hallucinations”—or what you and I might call inaccuracies. This is because chatbots are designed to be first and foremost, helpful. However, they are limited in access to data and historical information, leading them to “fill in the blanks” and come across as convincing.

But it isn’t just a matter of trusting the AI tools and algorithms, though it’s a good idea to be mindful of what prompts and data sources you feed into generative AI platforms. You need to have people with good judgment analyzing the results and then fine tuning that chatbot’s prompts. They can align your business objectives with this new technology, so you achieve faster-better-cheaper results.

The best way to bring AI expertise to your team

If you ask someone on your team to feed a prompt into ChatGPT right now, you’ll probably get back an output that ranges anywhere from “totally inaccurate” to “workable with a need for fine-tuning.”

This isn’t due to any failing on the part of your team member or even the AI. Tools like ChatGPT have an incredibly steep learning curve. If you don’t know exactly what you want—and how to tell the AI to deliver it—you’re not going to get usable results.

”AI will change business greatly … we need to be using AI tools to build the future.”
—Cantor Fan, Full-Stack Developer and LLM trainer

True mastery of AI involves an understanding of large language models (LLM), natural language processing (NLP), machine learning (ML), and for creating a custom chatbot, the Python programming language.

Sure, you could enroll your teams in something akin to The Wharton School’s certification program in AI for decision making—but it takes three months to complete. That’s both a long time—the tech will likely have evolved into a new iteration by then—and also not long enough, as true machine learning and AI pros have been studying this technology for years.

The truth is that it’s hard to effectively reskill your internal teams, especially when dealing with something that changes so rapidly.

So what’s the solution? How can you really bring ChatGPT mastery to your company in 60 days?

It’s easy: You hire someone who’s already a master.

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How an experienced AI expert can help

For many of you, your journey into GenAI may begin with engaging an expert who can bring systems-level thinking to your approach. These experts can help you understand what GenAI tools to use, how to use them—and even evaluate if you’re going to be best served by a custom-built AI solution.

Then, once you’ve consulted with an expert, you can pursue tactical solutions such as hiring a prompt engineer or a software developer who specializes in building AI systems.

Arun Godwin Patel is a data scientist and engineer who hails from London. He’s been entrenched in AI work for years and holds a master’s degree in machine learning. He often works with enterprise-level companies that are interested in AI, but aren’t sure where to start—or haven’t had success with their DIY attempts thus far.

“A lot of the clients I work with have people internally who have tried this stuff before—maybe played around with AI a little,” Godwin Patel said. “They played around with ChatGPT and they want to try to integrate that into what they’re doing.”

When he first meets with a client interested in AI, he works with them to figure out what they really need—and how to best leverage AI models to make that happen.

“There are so many different ways you can design an AI system,” he said. “They just need someone who can piece it all together.”

That’s an important distinction. It can be easy to think that we know what we need or want out of a tool like ChatGPT, but because we don’t really understand how it works, we wind up wasting time on attempts that lead nowhere.

“AI is very experimental. You need to be ready for that.”
—Arun Godwin Patel, Data Scientist and Machine Learning Engineer

An experienced machine learning engineer like Godwin Patel can cut through the chaff and deliver actionable results quickly, much faster than your internal team will be able to fully reskill.

With help like this, you truly can integrate AI into your company’s workflows in 60 days or less—all while allowing your teams to keep focusing on profit-driving work.

Connect with machine learning and AI pros

While machine learning engineers like Godwin Patel are often working to develop custom solutions, you can get help integrating AI into your business in a host of ways.

• Consult with a machine learning pro and discuss ways that AI can potentially benefit your business.
• Get help creating a custom AI chatbot that improves user experience on your website.
• Work with a ChatGPT prompt engineer to bring the benefits of generative AI tools into your daily workflow.

Take advantage of Upwork, the world’s work marketplace, to connect with independent professionals with the specialized AI and ML skills you need to keep your company ahead of the competition. Engage an artificial intelligence professional today and see how easy attaining AI mastery can really be.

Disclosure: Upwork is an OpenAI partner, giving OpenAI customers and other businesses direct access to trusted expert independent professionals experienced in working with OpenAI technologies.