The topic of the moment is Artificial Intelligence (AI), which is impacting various spheres of society. Through neural networks, companies such as OpenAI have created Artificial Intelligences such as the popular ChatGPT, which is essentially a conversational AI trained on a huge database. This solution is able to provide human-machine interactions similar to interactions with other humans, especially when it comes to conversational skills.
This technology has impressed many people and is generating great prominence for philosophical discussions, as well as a plethora of new solutions and startups. In the midst of this excitement, many more traditional organizations still see this tool as something restricted to the Information Technology (IT) area.
Much has been said about robots replacing humans and taking away their jobs. Among the many insights on the topic on social media, one caught my attention. It stated that in the near future, people will not be replaced by an AI, but by another person who has learned to use it efficiently. This thought is applicable to both professionals and companies
In order to reduce the barriers to entry for the use of Artificial Intelligence, we present some alternatives of what you can do with AI today, without spending large amounts of money or developing complex projects. In addition, we will highlight potential problems in using Artificial Intelligence, such as ChatGPT, in enterprise environments.
To help with the organization, we will separate the alternatives into three parts: suggestions for conversation, use with tools, and integration via API.
The familiar ChatGPT interface features a text box for chatting and, next to it, a list that stores the message history. The simple act of using it offers countless possibilities for a professional's day to day life.
You can use it as your personal secretary, assisting in proofreading texts, providing suggestions and ideas for specific problems, conducting research on various topics, and much more.
Among the alternatives, a new area of knowledge has emerged with the launch of conversational technologies, such as ChatGPT. Prompt Design is a field of study dedicated to the creation of the "prompts," that is, the texts or commands that users send to the AI in order to obtain the desired results.
If you want to understand a little more about how it works and test some prompts, start here. You will find prompts for various needs and also learn how to create your own.
When it comes to Prompt Design, the limits are only your creativity and the key is to be as descriptive as possible. It is also important to understand how ChatGPT works, taking into account that depending on the version used - version 3, 3.5 or 4 - this tool may have a larger or smaller memory capacity, which can affect the size of the prompts. ChatGPT has a free version, however, it is significantly inferior to the paid version, which offers improved performance.
The power of Artificial Intelligence (AI) is available in a number of tools for everyday use. For example, Google has announced several AI-integrated features in its office application suite. One of these includes Gmailwhich will make life easier for people with cluttered inboxes.
Similar initiatives exist: Notion's NotionAI helps with text writing by providing suggestions and spelling corrections; Microsoft's Bing AI offers a more conversational experience in our daily activities, similar to what we do when accessing Google.
There are many tools that rely on AI, trained to perform specific tasks. Many of them can be useful in different processes within a company. In addition, there are some content sources dedicated to providing news about Artificial Intelligence, such as AI Valley, Artificial Intelligence @AiHandbook and Machine Learning.
In addition to providing a direct conversational service, OpenAI allows third-party systems to communicate with their Artificial Intelligences through APIs. The most impressive aspect is the ability to provide training data to generate more targeted responses to the specific API context.
Through the fine-tuning process, it is possible to train an AI with specific data related to a certain context, improving the answers. This greatly simplifies the use of Artificial Intelligence in companies. If you are interested in the subject, you can find more information here.
Imagine an AI that can learn complex rules and automate processes, providing answers that previously were only possible through human intervention. Customized product suggestions, fraud prevention, profiling, classification, and fluid human interaction can transform complex routines, which require high investments and research, into more accessible and efficient processes.
Today, there are integrations and tools available for a variety of needs from various providers such as AWS, GCP, Azure, Oracle, and IBM, among others. There are numerous examples, such as applications that convert voice to text, text to voice, generate and recognize images, and more.
To start using these tools, it is necessary to have a deeper knowledge in computing and programming, because all these integrations are done through code. There are several ways to implement AI in your application, so it is important to keep yourself updated and contextualized. Below are some links that can help you in this journey:
In fact, there are still concerns regarding the use of tools like ChatGPT in corporate environments, especially regarding privacy and security issues. Recently, there have been cases where the tool was banned in Italy due to concerns about the origin of the training data and the lack of age filters for the generated content.
These issues can pose obstacles to the adoption of this technology. Some of the common concerns include:
The ChatGPT model is trained with a large amount of data, including sensitive information from individuals or companies. This can raise concerns about privacy and possible misuse of this information.
In corporate environments, it is common to handle sensitive data, such as financial information, business plans, or employees' personal data. If this data is entered into ChatGPT, there is a risk of storage and processing, which increases the possibility of data leakage or data breach.
Depending on the location and industry of the company, there may be specific regulations related to privacy and data protection, such as GDPR in the European Union or LGPD in Brazil. Using ChatGPT may raise compliance issues if the origin of the data used to train the model is unclear.
ChatGPT may provide incorrect, inaccurate or inappropriate information or suggestions. Depending on the situation, this can lead to negative consequences for the company. Therefore, it is important to ensure that AI is used as a support tool, and that the final decisions are made by qualified professionals.
To minimize these risks, companies should carefully evaluate how to implement and use ChatGPT in their corporate environment, ensuring that appropriate security and data privacy measures are in place.
Yes! Recently, the Databricks team released Dolly, which is the first LLM (Large Language Model) generated from a licensed, open and commercially viable dataset. This means that companies have the ability to have an AI with a level of technology similar to ChatGPT, hosted in-house and trained with data fully controlled by them.
Although it is simpler and more economical, technical knowledge is required to build such a structure. In this sense, companies like Levva can offer support in this process. With this approach, companies can enable ideas that were once complex and costly to develop in-house.
Do you know of any other alternatives? Any other ways to implement AI that are worth mentioning? In addition to today's article, we have many other contents that are worth reading, such as our latest text on Information Security.
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