ChatGPT—The Future of Recruitment Chatbots?
By now, you’ve likely heard about ChatGPT, “a chatbot technology developed by OpenAI that uses natural language processing to generate human-like conversation” (this description was written by Davinci, a GPT3 AI model from OpenAI). The release of ChatGPT took social media by storm, and for good reason—people were amazed by its ability to provide seemingly thoughtful responses to a wide range of questions, though others have pointed out its response inaccuracy (even going so far as to describe it as “fluent BS”). Regardless, ChatGPT represents a bold leap forward in AI’s potential to drive chatbot technology across a wide range of useful applications, without the need for extensive manual intervention during dialog setup and implementation.
ChatGPT is based on GPT3.5, the successor to GPT3, an extremely popular AI language model that was released in 2020. GPT3 (which stands for Generative Pre-trained Transformer 3) is a Large Language Model (LLM)—which means it’s an expansive neural network that’s designed to process a large data set of text to effectively learn language and generate responses based on various inputs. ChatGPT is a “fine-tuned” version of GPT3.5 and has a relatively thin neural network layer over GPT3.5 to optimize contextual dialog output.
Although similar models exist (including those developed by industry heavyweights such as Google, Meta, and Microsoft) and the list of competitors keeps growing alongside their ability and level of sophistication (link: https://huggingface.co/blog/large-language-models), ChatGPT seems particularly revolutionary due to its convincing ability to handle a wide array of text-based tasks—including answering questions, writing essays, summarizing long texts, translating languages, and so on. But is ChatGPT the future of recruitment chatbots?