Launched in November of 2022, ChatGPT brought the power of Artificial Intelligence to the world, turning the public’s eyes to the interaction and response capabilities of chatbots.
ChatGPT is a technology developed by the company OpenAI that falls within the realm of chatbots. Programs are designed to answer different levels of questions and carry out activities simulating human behavior. Big tech companies like Google & Meta have also developed technologies similar to ChatGPT for integrated use with the platforms they manage. The differential of ChatGPT is in its interactivity with the public, who can access the chatbot and experience the technological power of the tool for themselves.
One of the advantages of using chatbots is to reduce the service and response time for questions and requests from users, streamlining their needs. Companies that use this technology are able to better manage the employment of labor in activities that demand a greater need for human interaction.
ChatGPT has already reached the historic landmark of more than 100 million users just a few months after its launch, surpassing large applications in the technology market. Our daily lives are permeated with chatbots, and we use them in various situations, from getting technical support and scheduling appointments to requesting payment slips.
A significant disadvantage of chatbots is that, due to the automation of responses, we often have the feeling that they need to understand our requests fully. Responses are short and objective and often need to address our needs fully. In order to avoid this feeling, ChatGPT developers employed the use of Natural Language Processing through the most potent types of Neural Networks in order to humanize the iterative process users have with ChatGPT.
In a simplified explanation, this technology analyzes questions, observing each of the words that are provided, analyzing the text, and returning the answer that best fits the question. Through the use of the latest machine learning techniques, ChatGPT is able to learn from every question and provide better answers with each use. With each question answered it learns a little more about that subject and improves the answer.
ChatGPT understands more than 90 languages, which contributes to its worldwide success and helps in the learning process. The continuous learning process of this tool makes it automatically gain knowledge and experience to respond in an increasingly precise and humanized way. This makes every successive use feel less and less like you’re speaking to a bot.
ChatGPT is the result of combining Natural Language Processing and several types of Neural Networks. Currently, this combination can be used in:
Through the interpretation of text, AI can classify e-mails as spam, reducing the chance of malicious messages containing viruses or other agents that can cause headaches for IT departments.
In the marketing sector, we commonly use Clustering to segment customers’ specific characteristics, such as those who are likely to buy a particular product or cancel a subscription service.
In the financial sector, Clustering can be used to identify suspicious purchases, enabling the cancellation of these purchases and reducing the chance of customers incurring financial losses due to data theft.
Recommendation Systems are able to help professionals direct campaigns for specific products to customers who consume similar products to boost sales.
It is possible to Clusteringales and profit, among other indicators that vary over time, allowing for more significant business predictability. Artificial intelligence permeates companies in various sectors, contributing to fraud prevention, predicting indicators, customer segmentation, and quick customer service, among other possibilities.
Despite this tool’s great potential, asking it a poorly formulated question will still yield poor results. Even with ChatGPT’s excellent processing power and response time, it may fail to provide an accurate and adequate answer. In order for us to make good use of the tool, it is necessary to build questions clearly and objectively, containing keywords that allow it to scan your records and build an adequate answer.
For example, if a Python language programmer asks: “How do I build a function?” the bot will have a hard time providing the desired result due to the fact that it’s familiar with a significant number of programming languages. So, a more appropriate question would be, “How do I build a function using Python?”. The second question seems more objective and is likely to receive a more adequate and assertive answer.
Although the example is simple, the idea of assertiveness in questions extends to any area of expertise. It is worth mentioning that even though ChatGPT is a potent tool when it comes to answering specific questions, its answers should constantly be reviewed. Like all artificial intelligence, it is liable to make mistakes, generate answers that may be out of touch with reality and contain inconsistencies.
Technology will always be at the forefront of a changing world. It is often the driver that causes the world to change. ChatGPT is no different; its existence itself has sparked a change, and we can either try and work with it, assimilating it into our lives or not fearing it. We can stay ahead, actively preparing future generations for roles that will open up due to changing technology rather than being steamrolled by this technology and floundering as we panic to come up with an action plan. Should we fear generative AI and refuse or fail to comprehend possibilities, we will eventually lament the wasted opportunities it could have brought us once the chance has gone by.
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