One of the hottest jobs in AI right now: 'types-question guy'
Digest
The podcast episode explores the rapidly growing field of AI prompt engineering, focusing on the increasing demand for these professionals and the skills required for the job. The episode features an interview with Stephen Webster, a former executive editor who transitioned into prompt engineering after the pandemic. Webster explains that prompt engineers are responsible for crafting effective prompts, or instructions, for AI models, ensuring that the AI generates useful and coherent outputs. He highlights the importance of creativity and experimentation in prompt engineering, using his own experience developing an AI cooking assistant as an example. While the demand for prompt engineers is currently high, Webster anticipates that AI will eventually become sophisticated enough to prompt and refine itself, potentially rendering the role obsolete. However, he believes that prompting AI will become a fundamental skill for everyone as AI assistants become more prevalent in daily life.
Outlines
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Jobs Friday
This Chapter introduces the concept of "Jobs Friday," a recurring segment on the podcast that focuses on the job market and economic trends. The episode highlights the latest jobs report, which indicates a modest cooldown in the labor market, with the unemployment rate ticking up to 4.1%.
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The Rise of the AI Prompt Engineer
This Chapter delves into the emerging field of AI prompt engineering, highlighting the rapid growth in demand for these professionals. The episode features an interview with Nick Bunker, an economist for the Jobs Listing site Indeed, who notes that job postings for prompt engineers were virtually nonexistent until late 2022. The chapter also discusses the high salaries offered for these roles, with some employers advertising six-figure compensation.
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A Prompt Engineer's Journey
This Chapter introduces Stephen Webster, a former executive editor who transitioned into prompt engineering after the pandemic. Webster shares his experience with Google, where he was tasked with becoming a prompt engineer after the company released ChatGPT. He explains that prompt engineers are responsible for crafting effective prompts, or instructions, for AI models, ensuring that the AI generates useful and coherent outputs.
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The Future of Prompt Engineering
This Chapter explores the future of prompt engineering, with Webster predicting that AI will eventually become sophisticated enough to prompt and refine itself, potentially rendering the role obsolete. However, he believes that prompting AI will become a fundamental skill for everyone as AI assistants become more prevalent in daily life.
Keywords
AI Prompt Engineer
An AI prompt engineer is a professional who specializes in crafting effective prompts, or instructions, for artificial intelligence (AI) models. They ensure that the AI generates useful and coherent outputs by testing, tweaking, and refining the prompts. This role is becoming increasingly in demand as AI technology advances and companies seek to leverage AI for various applications.
ChatGPT
ChatGPT is a large language model chatbot developed by OpenAI. It is known for its ability to generate human-like text, translate languages, write different kinds of creative content, and answer your questions in an informative way. ChatGPT has gained significant popularity and has become a key driver of the growth in AI prompt engineering.
Generative AI
Generative AI refers to a type of artificial intelligence that can create new content, such as text, images, audio, and video. ChatGPT is an example of generative AI. The rise of generative AI has led to a surge in demand for prompt engineers, who are needed to effectively guide and refine these AI models.
Large Language Model (LLM)
A large language model (LLM) is a type of artificial intelligence that is trained on a massive dataset of text and code. LLMs can understand and generate human-like text, translate languages, write different kinds of creative content, and answer your questions in an informative way. ChatGPT is an example of an LLM. The development of LLMs has been a major factor in the growth of AI prompt engineering.
Prompt Engineering
Prompt engineering is the process of crafting effective prompts, or instructions, for AI models. It involves understanding the capabilities and limitations of the AI, as well as the desired output. Prompt engineers use their knowledge of language, AI, and the specific application to create prompts that elicit the desired results from the AI model.
Q&A
What is an AI prompt engineer and what do they do?
An AI prompt engineer is a professional who specializes in crafting effective prompts, or instructions, for artificial intelligence (AI) models. They ensure that the AI generates useful and coherent outputs by testing, tweaking, and refining the prompts. This role is becoming increasingly in demand as AI technology advances and companies seek to leverage AI for various applications.
How has the demand for AI prompt engineers changed in recent years?
The demand for AI prompt engineers has skyrocketed in the past year. Job postings for these roles were virtually nonexistent until late 2022, but have increased about 10-fold since then. This growth is driven by the increasing adoption of AI technology, particularly generative AI models like ChatGPT.
What are some of the skills required for AI prompt engineering?
AI prompt engineering requires a combination of skills, including an understanding of language, AI, and the specific application. It also involves creativity, experimentation, and the ability to refine prompts based on the AI's output. The ability to communicate effectively with AI models and understand their capabilities and limitations is crucial.
What is the future of prompt engineering?
While the demand for prompt engineers is currently high, it is anticipated that AI will eventually become sophisticated enough to prompt and refine itself, potentially rendering the role obsolete. However, prompting AI is likely to become a fundamental skill for everyone as AI assistants become more prevalent in daily life.
Show Notes
Related:
AI creates, transforms and destroys ... jobs (Apple / Spotify)
If AI is so good, why are there still so many jobs for translators?
Applying for a job? Make sure your resume is AI-Friendly (Apple / Spotify)
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