In the last decade, the technology industry has seen a rapid growth in the usage of artificial intelligence. From the first computer to play chess to the first computer to win a game of Jeopardy, the progress has been remarkable. In the last few years, we have seen a surge in the use of natural language processing (NLP) in the technology industry, and GPT3 is the one that clearly stands out. The ability to understand human language is a significant step towards making machines more human-like.

In the recruiting industry, GPT3 can be used to make the process of finding the right candidate much easier. Here are some potential usages of GPT3 that can make your hiring process much easier:

Semantic search for candidate sourcing.

When doing candidate sourcing, we have been using keyword search for a long time. However, there are problems with keyword search, for example, the search engine cannot tell the difference between "worked as a designer" or "worked with a designer". With GPT3, this problem could be solved since GPT3 is much better at understanding the candidate's resumes and profiles. It not only captures the keywords but also understands their relations with the words around them. Now we can even do more complicated search, like just telling the search engine "Find CFO who has led a biotech startup from series b to series d in San Francisco bay area." That would be a cool thing to do with the help of GPT3.

Match with better accuracy.

We can also use GPT3 to help companies and hiring managers find the right employee by taking culture fitness into consideration. The idea is that we can use the candidate's resume and job description to create a model of the ideal candidate. Then, we'll be able to search for people who match that model. For example, imagine that we're looking for a salesperson who has experience selling to large enterprise companies and also enjoys working at startups. We could build a model of the ideal salesperson who meets our requirements. Then, we can use that model to search for similar candidates. This method could be particularly useful for companies that have a unique culture or who have a hard time finding the right fit.

Candidate profile summary

The resume is the very first step in the recruiting process because the resume will determine whether the candidate is a fit for the position and the company. Candidate profiles are usually written in natural language, which makes it hard to summarize them. As a result, recruiters have to spend much time reading and summarizing the candidate profiles. GPT3 can be used to summarize candidate profiles by breaking down candidate profiles into several parts, extracting keywords from each part and then combining these parts. GPT3 can then build a summary of the candidate, which will save a lot of time for the recruiters.

Today recruiting industry is still doing a lot of repetitive work, which costs time and money. Nettrons is working on incorporating NLP to help reduce the cost of recruiting and provide better match results. Learn more about our AI powered talent sourcer at https://nettrons.com/sourcer.