Artificial intelligence is constantly evolving, and in recent months, the attention of the whole world has been riveted on GPT-3. GPT-3 (Generative Pre-trained Transformer 3) is a language model that uses deep learning to generate text and create content that mimics human text. works through machine learningoffering word predictions based on previously used terms and neural network predictions.

GPT-3 is the third generation of these language prediction models developed by the OpenAI Artificial Intelligence Research Lab. He learns from 175,000 million parameters, which is increasing as he is constantly learning from public information on the Internet and from millions of publications, books, papers and scientific texts on any topic.

This model was released three years ago, although it is only now reaching its peak of fame, reaching a million users in December thanks to ChatGPT, a linguistic model based on GPT-3 that allows text to be generated naturally. and communicate with people, quite accurately answering questions.

Differences between ChatGPT and GPT-3

ChatGPT has 117 million parameters; learns from conversations and does not tune in. Also, it only supports typing in chat mode. It is a simple tool for any user, more in line with human thinking and values, and more accurate than GPT-3 for its specific purpose.

On the other hand, GPT-3 has 175,000 million parameters and trains with all kinds of content. This is a custom model that supports all input types, but is less accessible to the average user and more prone to incorrect answers. Despite this, he is more trainable.

restrictions

GPT-3 can help digital marketers analyze text and data; listens to instructions and questions; it creates texts and is even capable of generating codes and creating computer applications, among many other uses.

Despite its usefulness, GPT-3 still has limitations in that while it creates coherent and well-written texts in terms of grammar, spelling, and structure, they don’t have to be truthful. Therefore, the task of verifying a message by a human is crucial. In addition, such content may be considered low quality and subject to search engine positioning penalties if it is used indiscriminately and without the necessary strategic knowledge.

According to Daniel Borrego, Managing Partner and Product Manager at Súmate, “This AI model cannot completely replace human labor. It is in full development and, at times, may fall for non-professional texts on tone, low rigor, or little research. That is why the work of a person who reviews and corrects the generated content is necessary.

This is a language model that is not able to understand the cultural context or current market trends, so the generated content may be less relevant or effective for the target audience. In addition, you may lack the ability to understand and apply concepts such as brand strategy, positioning, media planning, and performance measurement.

AI used responsibly can be a powerful tool when it comes to content creation, but it is not a complete replacement for the skills and experience of a marketer as these tools require upfront management and understanding to get the most out of it. of them.

As Daniel Borrego states, “humans will not be left out of this revolution, but we will be responsible for programming, providing instructions, observing and choosing the results provided by AI. We will not become obsolete,” he adds, “but we will dedicate ourselves to innovating, understanding and interacting with other people, integrating these new tools and creating new ways to do everything. We will devote ourselves to feeling, solving and transmitting, that is, everything that makes us human.