Using GPT-3 to automate Human Resources tasks

Introduction

Can artificial intelligence help you with your Human Resources tasks? It could be possible. In this article, we’ll take a look at how GPT-3 might be able to help.

Human Resources Departments have a lot of repetitive tasks.

You know what it’s like in your HR department. You’ve got a lot of repetitive tasks that need doing, and it’d be so much easier if you could just automate them away. For example:

  • Writing employee handbooks
  • Answering common questions from employees or candidates
  • Managing benefits and performance reviews
  • Managing employee records

The GPT-3 engine was recently released by OpenAI, and it has been a sensation.

If you’ve been following the news over the past few months, you may have heard that OpenAI recently released a neural network called GPT-3. It’s based on the model GPT-2, which was used to create text like:

A computer writes Shakespearean sonnets and haikus

The system can compose original poems from scratch based on prompts. For example:

“What if I told you / That computers could write poetry?/ What would you say?”

Or: “If a computer were to write a poem for me/ What would it say?/ Would it be about love?”

The system has also been used to generate stories about Mona Lisa and Amelia Earhart, as well as screenplays for films like The Matrix and Back To The Future Part II.

The GPT-3 model allows you to create a text prompt, and it will output text based on that prompt.

GPT-3 is a machine learning model that’s optimized for the task of generating text. It’s different from other models, like Google’s LSTM or TensorFlow RNN, in that it uses a large number of layers and doesn’t include any fully connected layers, so it doesn’t learn to identify words or sentences. Instead, each layer will generate new combinations of existing words and phrases, creating an endless array of possible sentences that all follow your prompt.

By default this model will just keep spitting out text based on what you’ve already written—but if you want more control over how the model works, you can specify how many paragraphs (or “chunks”) should be generated per sentence before proceeding to the next chunk.

We wanted to see if this model could be used to help automate some of the more repetitive tasks in Human Resources departments.

We wanted to see if this model could be used to help automate some of the more repetitive tasks in Human Resources departments.

The model was recently released by OpenAI. It’s called GPT-3, and it’s based on LSTM (long short-term memory). A lot of people have been using it for writing text, but we wondered if there might be other uses for it as well.

Our team decided to pick a task that most companies do all the time: employee onboarding. If a machine could write an email introducing itself and welcoming new hires, it would make life easier for HR professionals who are overworked and underpaid with tons of different projects going on at once.

For example, one task is writing employee handbooks.

Writing employee handbooks is a task that many human resources (HR) departments do. Employee handbooks are documents that outline the rules and regulations of your company, including how to dress, how to fire employees, when employees should take vacation time and more.

Using AI to write employee handbooks will save time on this task as well as reduce errors in the document itself. However, there are also limitations to using AI for this task: it can miss important information about your company’s culture or values because machine learning algorithms are trained on datasets that don’t reflect those things; it requires someone with a deep knowledge of HR policies who can train an algorithm; and there may be legal implications for companies who use these types of technologies without proper research into what they mean legally (see “Legal Risks” section below).

This is just one example of how GPT-3 could help automate some tasks within HR departments—there are many others! For example, GPT-3 could also be used to automate tasks related to managing employee benefits such as health insurance claims processing or payroll deductions management systems

In this case, the user would enter the name of their company, the type of handbook they would like (i.e., benefits) and let the AI write the handbook for them based on other handbooks that have been written previously.

In this case, the user would enter the name of their company, the type of handbook they would like (i.e., benefits) and let the AI write the handbook for them based on other handbooks that have been written previously. This is a very similar process to how you might use GPT-3 to create a chatbot or automate a job application or interview.

Other repetitive tasks could be automated through chatbots that respond to common questions from employees or job candidates.

Chatbots are a great solution for handling common questions from employees or job candidates. They can answer basic HR-related questions, but they also have the ability to handle more complex requests. For example, if an employee wants to take time off from work, chatbots can be used to schedule the necessary appointments with supervisors and managers. If you want more information about how chatbots could automate some of your HR tasks, read on!

Chatbots won’t just answer repetitive questions like this one—they can also help with less common situations too. Take a look at this example: You’re hiring someone new and want them trained in your company’s standard operating procedures (SOPs). An automated bot could send them SOP documents whenever needed during their training period so that they don’t have any gaps in knowledge when starting out at their new job!

Automation is coming to human resources departments

Automation is coming to human resources departments. A recent report from the World Economic Forum predicts that automation will have a major impact on the workplace over the next two decades.

In particular, HR departments are likely to see an increase in automation, as it has been proven that repetitive tasks can be automated with artificial intelligence (AI) technologies like machine learning (ML). For example, recruiters can use ML techniques to automatically filter out unqualified candidates from resumes posted on job boards.

In addition to automating certain tasks within their organizations, organizations may also want to consider using chatbots as part of their automated HR systems. Chatbots are virtual assistants that can handle repetitive tasks by interacting directly with employees through text or voice communication channels such as Slack or Skype.

Conclusion

As technology continues to advance, organizations are finding more ways to automate tasks that once required human effort. Today, automation is not limited to manufacturing and engineering industries but can also be applied in other areas such as human resources (HR). HR departments have many repetitive tasks such as writing employee handbooks or responding to common questions from employees. These types of jobs are perfect candidates for automation with the use of artificial intelligence (AI) technologies like OpenAI’s GPT-3 model. This model allows you to create a text prompt and will output text based on that prompt. With this technology, one could enter the name of their company and the type of handbook they would like (i.e., benefits) and let the AI write these documents for them based on other handbooks that have been written previously. This would save time and money because it eliminates the need for humans to manually create these documents every time there is an update or new information available about benefits packages at different companies.


Some of my other GPT-3 posts: