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"Prompt engineers” are people who spend their day coaxing the AI to produce better results and help companies train their workforce to harness the tools.Over a dozen artificial intelligence language systems called large language models, or LLMs, have been created by companies such as Google parent Alphabet, OpenAI and Meta Platforms. The technology has moved rapidly from experiments to practical use, as Microsoft integrates ChatGPT into its Bing search engine and GitHub software development tool.As the technology proliferates, many companies are finding they need someone to add rigour to their results.The engineer spends most of the day writing messages or “prompts” for tools such as OpenAI’s ChatGPT, which can be saved as presets within OpenAI’s playground for clients and others to use later. A typical day in the life of a prompt engineer involves writing five different prompts, with about 50 interactions with ChatGPT.It is too soon to know how widespread prompt engineering is or will become. The paradigm emerged in 2017 when AI researchers created “pre-trained” LLMs, which could be adapted to a wide range of tasks with the addition of a human text input. In the past year, LLMs such as ChatGPT have attracted millions of users, who are all engaging in a form of prompt engineering whenever they tweak their prompts.It’s now even possible to buy and sell text prompts via the PromptBase marketplace, which also helps people hire prompt engineers to create individual prompts for a fee.The best-paying roles often go to people who have PhDs in machine learning or ethics, or those who have founded AI companies. Recruiters and others say these are among the critical skills needed to be successful.
"Prompt engineers” are people who spend their day coaxing the AI to produce better results and help companies train their workforce to harness the tools.
Over a dozen artificial intelligence language systems called large language models, or LLMs, have been created by companies such as Google parent Alphabet, OpenAI and Meta Platforms. The technology has moved rapidly from experiments to practical use, as Microsoft integrates ChatGPT into its Bing search engine and GitHub software development tool.
As the technology proliferates, many companies are finding they need someone to add rigour to their results.
The engineer spends most of the day writing messages or “prompts” for tools such as OpenAI’s ChatGPT, which can be saved as presets within OpenAI’s playground for clients and others to use later. A typical day in the life of a prompt engineer involves writing five different prompts, with about 50 interactions with ChatGPT.
It is too soon to know how widespread prompt engineering is or will become. The paradigm emerged in 2017 when AI researchers created “pre-trained” LLMs, which could be adapted to a wide range of tasks with the addition of a human text input. In the past year, LLMs such as ChatGPT have attracted millions of users, who are all engaging in a form of prompt engineering whenever they tweak their prompts.
It’s now even possible to buy and sell text prompts via the PromptBase marketplace, which also helps people hire prompt engineers to create individual prompts for a fee.
The best-paying roles often go to people who have PhDs in machine learning or ethics, or those who have founded AI companies. Recruiters and others say these are among the critical skills needed to be successful.
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