ChatGPT is no longer a novelty in artificial intelligence. Moreover, it now works with text, images, audio and code. Today the technology already runs inside corporate systems

Moreover, since its launch in November 2022, ChatGPT has left the theoretical debate behind. Today the discussion is practical. For example, it covers productivity, data governance and the design of work processes.

In practice, ChatGPT is a language model built by OpenAI. It was trained to generate text that reads as if a human wrote it. Back in 2022, the tool still described itself as a GPT (Generative Pre-trained Transformer) 3.5 model. Since then, the model family has evolved a great deal.

Simply put, ChatGPT is an artificial intelligence system capable of interacting in writing. It works similarly to virtual assistants, such as Alexa and Siri. However, it has a far more advanced algorithm. Therefore, it handles complex activities and sustains a natural dialogue.

What sets ChatGPT apart from ordinary chatbots

ChatGPT differs from traditional chatbots because it does not follow a decision tree. Instead, it interprets the user’s intent and composes an answer. As a result, it converses far more naturally. In addition, it accepts corrections during the conversation and adjusts course.

Similarly, the debate has moved on from science fiction. In the post-2020 period, people discussed machines dominating human beings. Today, the questions are different. For example, they cover risk, sensitive data and accountability for the generated answer.

Consequently, ChatGPT has been adopted across very different fronts. For example, students use it for research and review. In addition, IT teams apply it to programming, documentation and testing. Business areas, meanwhile, use it for reports, proposals and corporate content.

What technologies are behind ChatGPT?

In short, one recurring question is how the technology develops complex answers. Moreover, people ask how it can even be creative. The explanation lies in the combination of models, data and infrastructure.

The models were trained on a huge volume of text and learned language patterns. Notably, the first public version, in 2022, only knew data published up to 2021. Today, however, the tool searches the web and reads files the user uploads. Therefore, that old limit is no longer the main obstacle.

After all, one point deserves attention. The model has no consciousness and no opinion of its own. It calculates the most likely answer to the request it receives. In this sense, output quality depends heavily on the context you provide.

And which technologies enable such an advanced model?

– Natural Language Processing (NLP) – This is a field within artificial intelligence. It focuses on understanding and interpreting the user’s point of view. Additionally, the model can be configured to follow a corporate standard, a specific language, or different characteristics.

– Machine learning – Machine learning models sustain the whole operation. They rely on large data sets (Big Data) to recognize patterns. Therefore, the tool improves with every newly trained version. In this article, we showed how machine learning has been used in industry.

– Artificial Neural Networks (ANN) – This is the structure that supports the model and enables interaction with users. On top of that, Conversational AI solutions are added. The goal is to bring fluidity to the dialogue and deliver a natural response.

In practice, these three components rely on the support of high-performance servers and cloud computing. Therefore, they guarantee fast and efficient responses to users, as well as high availability.

ChatGPT applications

First, it helps to understand today’s landscape. The tool keeps a free tier and paid plans with more capable models. In addition, there are corporate plans with data controls and an API for integration. In that format, ChatGPT runs inside the systems the company already uses.

Here are some possibilities:

– Automatic translation – The tool translates texts between languages with good fluency. Likewise, ChatGPT reviews articles for grammar and coherence errors.

– Summarizing texts and documents – The technology summarizes reports, contracts and long articles. Unsurprisingly, it became routine in legal and academic work.

– Writing code – Development teams use the model to write, review and explain code. In addition, it helps document legacy systems.

– Reading images and spreadsheets – Current models are multimodal. Therefore, they read charts, photos and spreadsheets shared in the conversation.

– Explaining complex concepts – The technology organizes a large volume of information into a short summary. As a result, difficult subjects become easier to grasp.

– Running tasks as an agent – Today the model also calls tools and completes multi-step tasks. For example, it queries a base, drafts a report and suggests the next step.

Similarly, as you can see, the applications are very varied. Moreover, they depend on the user’s interest and on the context provided to the tool.

Tips on how to get deeper answers

As a result, anyone with some experience notices one thing. Answer quality depends heavily on how the request is written. However, you can get much more out of the tool.

Meanwhile, check out some tips:

– Rephrase your questions – The answer is not always what you expected. Therefore, insist and refine the request until you get the desired result.

– Provide context and material – Attach the document, the spreadsheet or the example that serves as reference. As a result, the answer lands much closer to your reality.

– Describe the complexity of the answer – You can ask for a definition aimed at an expert on the subject. Moreover, that response will differ sharply from a generic question.

– Define specific standards or languages – You can request answers using technical terms. Moreover, you can ask for the language simplified as much as possible.

In short, the technology has progressed. However, incorrect statements, errors in numbers and mistaken assumptions still happen. In this context, responses must be reviewed carefully. So, could ChatGPT support your business?

In its free version, it can even be an option for small businesses.

Finally, discover how Inove Solutions can help you on this journey!