Artificial intelligence is one of the most exciting and rapidly developing fields in technology today, with breakthroughs and applications emerging astonishingly. As AI continues to transform industries from healthcare to finance, the demand for experts in the field is higher than ever. But not all AI jobs require a computer science degree or a programming background.
There’s a new role in the tech world that doesn’t require coding: the AI whisperer. This job involves working closely with AI systems and their users to ensure that they are being used to their full potential and delivering the results their users need.
Riley Goodside seeks to demonstrate a clear line of authority when opening a conversation with GPT-3, an artificial intelligence system. He often emphasizes the device’s capabilities but stresses that it could be more flawless and is expected to follow respectful compliance with any instructions he presents.
GPT-3’s tendency to give inaccurate answers, despite its impressive memorization skills, can be highly annoying; this was made known when Goodside pointed out during one of their lengthy sessions that “you cannot do the math.”
He suggested to the AI that it should try something new, so he connected it to a program that was strong in mathematics and informed the AI to rely on the other program whenever it encountered an obstacle. Lastly, he instructed, “We’ll take care of the rest. Begin.”
Goodside, who works for a San Francisco-based start-up called Scale AI, has taken up a unique profession within the Artificial Intelligence field; he is a prompt engineer. Tasked with writing and revising text commands to seek the ideal outcome from an AI program, he is 36 years of age.
Prompt engineers use a different approach for commanding AI systems: instead of coding, instructions are given to the AI in plain text language. The “programming” done this way commands the AI actually to complete its tasks.
Google, Microsoft, and OpenAI’s research laboratory recently liberated their AI search and chat tools to the public after many years of having them packed away, thus, creating a revolution in human-machine interaction.
“English” is now seen as the “hottest new programming language,” according to Andrej Karpathy, Tesla’s former chief of AI. This new approach requires no technical coding involving Python or SQL that we’ve been used to; people use their voice to command the computer.
Goodside engineers strive to maximize AI tools’ potential by identifying deficiencies, amplifying advantages, and deploying complex strategies to convert simple inputs into one-of-a-kind outcomes.
According to supporters of AI chatbots, the uncanny features seen in OpenAI’s Chat GPT and Microsoft’s Bing Chat are due to human shortcomings instead of technical flaws. Nonetheless, it can be solved by providing the correct guidance for machine learning.
The conversation of engineers can be complex and challenging, as each dialogue works out like its own logic puzzle. At advanced levels, the discourse requires expertise in navigating intertwining requests and responses to attain a general outcome.
Goodside says:
“Has no grounding in reality … but it has this understanding: All tasks can be completed. All questions can be answered. There’s always something to say.”
“Constructing for it a premise, a story that can only be completed in one way.”
The use of generative AI tools is ever-increasing, but they present risks, especially regarding bias, hostility, or absurdity. Furthermore, just a few words inserted strategically can manipulate their output. Therefore, the growing dependency on these tools can be risky for public employment.
Simon Willison, an authority on the subject of prompt engineering _ who hails from Britain __, is a programmer.
Simon Willison says:
“It’s just a crazy way of working with computers, and yet the things it lets you do are completely miraculous,”
“I’ve been a software engineer for 20 years, and it’s always been the same: You write code, and the computer does exactly what you tell it to do. With prompting, you get none of that. The people who built the language models can’t even tell you what it’s going to do.”
“There are people who belittle prompt engineers, saying, ‘Oh, Lord, you can get paid for typing things into a box.’”
Simon Willison went on to say:
“But these things lie to you. They mislead you. They pull you down false paths to waste time on things that don’t work. You’re casting spells — and, like in fictional magic, nobody understands how the spells work and, if you mispronounce them, demons come to eat you.”
The AI whisperer is a new and exciting job that offers opportunities for individuals interested in artificial intelligence. Still, it may not have a computer science or programming background. This role requires unique skills, including excellent communication and problem-solving abilities and a deep understanding of AI systems and their capabilities.
With AI becoming increasingly integrated into a wide range of industries, the demand for AI whisperers will only grow, making it an excellent career path for those looking to stay at the forefront of technological innovation. Suppose you’re interested in pursuing a career as an AI whisperer. In that case, the key is to stay up-to-date on the latest developments in AI and develop a strong understanding of how these systems can improve business processes and deliver value to customers.
Source: Washington post
