The Hot New Job That Pays Six Figures: AI Prompt Engineering

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    One job that currently has a bright future is the emerging field of prompt engineering. Prompt engineers are experts in making the new generation of generative AI applications like ChatGPT and Google Bard do what you want them to do.

    Reportedly, agile engineers require little or no technical knowledge. After all, as former Tesla head of AI Andrej Karpathy, who now works at his ChatGPT creator OpenAI, says, “English is the hottest new programming language.”And he’s currently in a leading role. Salary Up to $335,000.

    Do you find it attractive? So let’s take a look at what the right people are to become a Prompt Engineer, what background and skills are required, and who hires them. Is it really the work of the future, or is it just a product of the over-inflated state of the current AI hype cycle?

    What is Prompt Engineer?

    Generative AI tools, especially those that can create text, computer code, and graphics, are currently causing a lot of excitement (and quite a bit of concern). This is because they can potentially take on many of the day-to-day tasks of employees in various roles, from marketing to HR. law, computer programmingand data analyst.

    These kinds of tools put so much power in people’s hands, but if everyone has access to the same technology, how can they use it while expressing their individuality and creativity? How can you make sure you stand out from the work of others and create a competitive edge for your business?

    This is where quick engineering skills come into play. Learning how to get the best results from generative AI is a skill that must be learned and honed, much like any other computer software is professionally proficient.

    This can often be an iterative process. A vague generic prompt gets a vague generic response, but that’s a start and you can improve from there. Engineers use their human judgment and communication skills to identify gaps in AI-generated work and adjust prompts until they get the results they want.

    A good example is using natural language generation (NLG) AI like ChatGPT to code useful software applications.

    Suppose you have an idea for a new app. To reduce your company’s carbon footprint, you may want to create a tool that allows your company’s shift workers to arrange ridesharing to and from work.

    Just telling ChatGPT to write this app will fail. The code is too complex to print all at once and I don’t have the data I need to run the job.

    However, if the job is split into appropriate chunks and all the required data is provided, it’s quite possible.

    A good prompt engineer can be thought of as the “project manager” of the AI ​​workforce, overseeing the completion of the individual tasks that make up the job, and the knowledge that all workers (AI agents) need to get that task done. Make sure you have the right tools (data). end.

    Another useful concept in prompt engineering is roles. This allows you to define your AI’s “persona” to generate more relevant and engaging responses. Just as humans answer questions differently depending on whether they’re teachers, scientists, philosophers, comedians, etc., prompt her engineer to define the personality, traits, and beliefs she needs to inform her AI. can. reaction.

    What skills do you need?

    Many of the skills required to get the best results from generative AI applications are likely to be soft skills rather than hard technical skills.

    First, and perhaps most importantly, communication skills. Just like you give instructions and training to your human employees, you need to be able to express precisely and clearly what you want your AI to do.

    Attention to detail is required. Rapid engineering can be more successful if you can drill down into exactly what type of response or content you’re looking for.

    Good organizational skills are also essential. We need to be able to tell the AI ​​how to identify the individual elements of the work and process them systematically.

    Data skills are also very useful, as you need to know what information AI needs to do its job, where you can find it, and in what format it should be able to process it.

    Subject matter expertise is also beneficial because not all output from a generative AI application is correct, and people with subject knowledge are more likely to evaluate responses.

    It also requires the ability to think critically to evaluate different approaches that can be used to get the AI ​​to complete a particular task and determine which ones are likely to work.

    Project management and planning skills are also critical to identifying areas within an organization where generative AI can help and developing strategies for using it to create value.

    Who Hires Work-Ready Engineers?

    From digital advertising agencies to software developers to healthcare providers to utility companies, companies are hiring ready-to-work engineers.

    Time reports that the number of job postings containing GPT has increased by 51% between 2021 and 2022.

    California AI startup Anthropic describes its role as a hybrid of “programming, mentoring and teaching,” and advertises salaries of $280,000 to $375,000.

    London-based digital agency Rehab hires off-the-shelf engineers who can prototype new applications of LLM technology, fine-tune language models to develop their ability to communicate, and keep their knowledge of the field up to date. looking for.

    And Boston Children’s Hospital in Massachusetts is looking for immediate engineers to deploy large-scale language models to support medical research and clinical practice.

    How can I learn prompt engineering?

    This is a very new field, but there are already many courses available online that teach you the details of prompt engineering.

    Online course portal Udemy offers numerous courses on generative AI prompt engineering, including one focused on mastering Chat GPT and using The middle of a journey Create an AI image.

    of AI-powered next-level rapid engineering Online courses promise to teach students how to create effective prompts that give them a competitive edge over others looking to automate tasks using AI.

    Cloud Academy has a super short beginner-level primer. ChatGPT Prompt Engineering This not only teaches you the basics of chaining prompts, but it also teaches you to train ChatGPT to take on the role of an expert.

    At data camp Overview of ChatGPT This course covers best practices for creating prompts and how to use chatbots in different businesses.

    and class central has many free Prompt Engineering courses, including Introduction to Prompt Engineering, Intensive Chat GPT for Beginners, Getting Started with Midjourney, and Automating Useful Professional Tasks with Open AI.


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