ChatGPT is an AI offshoot and affects today’s marketing. Here’s how.
What Is ChatGPT?
ChatGPT stands out from other chatbots due to its exceptional dataset size. While most chatbots are trained on a limited dataset using rule-based methods to address speciﬁc queries and perform certain tasks, ChatGPT is trained on an enormous dataset consisting of 175 billion parameters and 570 gigabytes To put it into perspective, 570GB is equivalent to more than 385 million pages on Microsoft Word Using this vast amount of data, ChatGPT can accomplish a variety of language-related tasks across a wide range of industries and ﬁelds These tasks include answering questions on various subjects, generating content, and providing responses in multiple languages.
When we think about Marketing, for example, even though we have already seen the tool’s power to provide strong brainstorming ideas for any kind of content, it’s still far from being perfect. As with all the other AI technologies, there is an equal amount of praise being given for the good opportunities that it creates, as criticism for the possible misinformation and mistakes. Billy Perrigo, a journalist covering tech at Time, “interviewed” the ChatGPT robot, and the tool “answered” some questions that reinforce its limitations and how people could adapt to this technology in regards to being conscient about the way they’ll take advantage of it. ChatGPT also admits some risks involving itself and gives some advice to the users.
The downside of ChatGPT is that there’s no filter to ensure the information provided by the AI is accurate. You don’t know where the data came from so it may reflect bias or falsehoods or incomplete information. For instance, a co-worker entered his name as a prompt and the results were flattering but vastly overstated his contribution to the industry. No one wants to lose the moral high ground by posting lies and biased information or risk their reputation with inaccurate or incomplete information, so that’s a consideration.
The Human Factor
Human-created content is inherently more unique, as it is based on personal experiences, perspectives, know-how, and emotions. In contrast, current ChatGPT content marketing use cases have shown that, at the end of the day, it generates outputs only based on conclusions drawn from pre-programmed datasets. This means that it lacks the spontaneity and creativity of traditionally made content, which is what sets good quality content from mediocre types of content.
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