In the last few months, you may have heard of Chat GPT. Many say it is a revolutionary technology, even comparing it to Google. Others comment that making an analogy with the past will mean the same revolution that happened with the calculator. People reading this article will remember that the calculator was only allowed in class at specific times because the important thing was to know how to do the questions manually; it would only be considered an element of help to reduce time.
But, to know if it has the same scope, in this article, we will try to explain how it works, what it is, and how this technology can help you in your day-to-day life.
What Is GPT Chat?
Chat GPT is a chatbot developed by the artificial intelligence research company OpenAI, or it is a chat system based on the GPT-3 Artificial Intelligence language model, and it has a series of functions that make it stand out from the rest. This model has more than 175 million parameters and has been trained with large amounts of text to perform language-related tasks. You can answer questions, solve mathematical equations, write text, debug and fix code, translate between languages, create text summaries, make recommendations, classify things, and explain what something does, such as a code block. In other words, it has many functions that help us simplify our daily lives.
The reason why it has been described as an alternative to Google is that it is capable of providing many of the same features that Google currently offers to users. You also have the potential to do tasks like generating quality content for websites and responding to customer inquiries.
How Can or Could Help You In Your Day To Day?
GPT Chat and its possible use cases, among others:
Virtual agents for customer service: Companies could use Chat GPT to create virtual agents. That they can answer the client’s questions and help them solve any inconvenience that may arise, these agents could be integrated into websites, mobile apps, or other platforms, giving customers a convenient way to get the information they need at all times.
Personal Assistants: GPT Chat could create personal assistants who can answer questions, schedule appointments, and perform other tasks. These virtual personal assistants could be integrated into mobile applications or accessed through voice platforms such as Amazon Alexa or Google Assistant.
Translations – GPT Chat could help improve the accuracy of machine translation systems, allowing people to communicate more seamlessly and removing many of the barriers we currently face regarding understanding between languages.
Generate Software Source Code: It is a natural language model trained in reading and writing, although it is not specifically designed to generate software source code. However, you can use this model to generate ideas or provide support during software design and development.
Building SQL queries: As discussed earlier, it’s a natural language model. However, it’s not designed in this case for building SQL queries, and you can use the model to generate ideas or to provide support both during the design process and in executing SQL queries.
Social Media Moderation: Chat GPT could help moderate online communities, automatically detecting and flagging irrelevant or inappropriate content in each case.
Generation of contracts or legal documents: you can use the model to generate contracts or legal documents from requirements or conditions. Once you have provided the model with information about the parties involved in the contract, the terms and conditions, and each party’s obligations, you can ask this tool to generate a fully coherent and complete contract or legal document.
This is just the beginning…
How Does GPT Chat Work Internally?
Chat GPT uses machine learning algorithms and deep learning techniques to internally process and generate text responses. When a user enters a message in the chat, the first thing the system does is tokenize the text, which involves breaking words and phrases down into individual units. After this decomposition, the tokens go through a series of layers, including encoding and decoding, to generate a response.
This is fine, but we often find texts that, when interpreted by a machine, lack the “human” meaning acquired in a conversation. One of the main key technical details of the internal architecture of Chat GPT is the use of “attendance mechanisms.” These attention mechanisms allow the model to focus on specific parts of the input text, which helps it generate more contextually accurate and relevant responses. As we said, this is especially relevant in a conversation, where previous messages must be considered when generating a response.
A second technical detail of the internal architecture of Chat GPT is the use of “memory modules,” these allow the model to keep information from previous messages, which helps it to generate more coherent responses, being especially useful in long conversations in which the model needs to maintain a sense of context and coherence, among all the information contained.
With all of the above, this technology will potentially revolutionize how we interact with chatbots and virtual assistants, providing conversational experiences more naturally and especially similar to conversations between humans.