What’s Happening?

Google is sunsetting Universal Analytics properties starting July 1, 2024. After this date, all accounts will need to use Google Analytics 4, which is designed to provide more integrated and user-centric insights without compromising privacy.

Impact on Existing Accounts

As propriedades do Universal Analytics não estarão mais acessíveis através do frontend do Google Analytics nem das APIs. Isso significa que você não poderá mais visualizar ou coletar dados utilizando a versão antiga do Analytics. A mudança afeta todas as integrações e o acesso a dados antigos, incluindo relatórios e metas configuradas.

Ações recomendadas

Universal Analytics properties will no longer be accessible through the Google Analytics frontend or APIs. This means you will no longer be able to view or collect data using the old version of Analytics. The change affects all integrations and access to historical data, including reports and configured goals.

Recommended Actions

It is crucial to start exporting your historical data as soon as possible to avoid losing valuable information. Google provides support for exporting data to BigQuery, especially for Universal Analytics 360 users, but these processes will also have tight deadlines until June 2024.

Next Steps for Migration

To continue using Analytics without interruption, it is recommended to start migrating to Google Analytics 4 immediately. This new system not only continues to offer in-depth analysis but is also adapted to handle future privacy and data integration challenges.

Google Analytics 4 for Beginners: What Is It and How to Install

A comprehensive guide to help beginners understand and set up Google Analytics 4 easily.

Site Kit: Install Google Analytics and Search Console on Your WordPress in 5 Minutes!

Learn how to quickly integrate these essential tools into your WordPress site with the Site Kit plugin.

The transition to Google Analytics 4 is inevitable and essential to continue leveraging Google’s data analytics tools. Start planning your migration today to avoid disruptions and critical data loss.

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1 – Offer AI Consulting Services

If you are an expert in AI, you can offer your services as a consultant to companies that want to implement the technology. The demand for AI consultants is high, as many companies are still learning how to use the technology and need expert guidance to do so effectively. As a consultant, you can help businesses identify opportunities to use AI in their operations, develop strategies to implement the technology, and provide technical support and training.

To be successful as an AI consultant, it is important to have technical skills and knowledge of the industry you work in. You also need to be able to communicate clearly and persuasively with potential clients, so you can sell your services and build long-term relationships. Additionally, it is important to have a solid understanding of the costs involved in implementing AI so you can offer fair and competitive pricing to your clients.

As a consultant, you can work as a freelancer or start your own AI consulting company. If you choose to start your own company, it’s important to have a solid business plan and find a way to differentiate your services from the competition. You can do this, for example, by offering consultancy in specific areas of AI or focusing on a specific market sector.

2 – Create and Sell AI-Based Products

If you are a software developer or have programming skills, you can create and sell AI-based products. AI can be used in a variety of products, from chatbots to virtual assistants, data analysis tools, and much more. As an AI product developer, you can work independently or as part of a team, creating custom solutions for businesses or developing products for mass marketing.

To be successful as an AI product developer, it is important to have advanced technical programming skills, as well as a solid understanding of customer needs. You’ll need to be able to identify specific problems that AI can solve and create custom solutions for those problems. Additionally, project management skills are important to ensure that your projects are delivered on time and within budget.

One option for marketing your AI products is to sell them directly to businesses that could benefit from them. You can do this, for example, by approaching companies operating in a specific sector, such as healthcare or retail, and offering your AI products as custom solutions. Another option is to sell your products on online platforms, such as the Apple App Store or Google Play.

To stand out from the competition, it’s important to ensure that your AI products offer unique features and have high-quality design. Additionally, it’s important to monitor market trends and regularly update your AI products to meet the ever-changing needs of customers.

3 – Invest in AI Companies

If you don’t have the technical skills needed to create your own AI products or services, you might consider investing in AI companies. Many companies around the world are developing innovative AI technologies and are looking for investors. Investing in AI companies can be a way to diversify your investment portfolio and gain exposure to a rapidly growing sector.

To invest in AI companies, you can start by researching companies that are listed on the stock exchange and that focus on AI technology. You can also consider investing in AI startups through crowdfunding platforms. It’s important to carefully research the companies you are considering investing in, assess their growth potential, and understand the risks involved.

Another option for investing in AI companies is to invest in investment funds specialized in AI. These funds invest in various AI companies and can offer more diversification and risk management than investing in a single AI company.

Before investing in any AI company, it’s important to have a solid understanding of AI technology and its applications in different sectors. It’s also important to carefully assess your investment goals, risk tolerance, and investment horizon to ensure that your investments align with your long-term financial needs and goals.

4 – Develop and Sell Data Sets

AI is only as good as the data fed into it. If you have skills in data analysis or data collection, you can develop and sell data sets to companies that use AI. Data sets can be used to train AI algorithms, identify market trends, optimize customer experience, and much more.

To develop data sets, you can collect data from different sources, such as social networks, sensors, government or public databases, and much more. It’s important to ensure that the data sets are accurate and regularly updated, as outdated or inaccurate data can lead to inaccurate or incorrect results.

To sell data sets, you can offer your services to companies that could benefit from the data you have collected and organized. This can be done through e-commerce platforms or directly through personal or professional networking contacts. It’s important to have a clear understanding of the value of the data sets you are selling to ensure that you are charging fair prices.

To stand out from the competition, it’s important to ensure that your data sets are of high quality and meet the specific needs of customers. Additionally, it’s important to monitor market trends and develop data sets that meet the ever-changing needs of customers.

Artificial intelligence is creating many opportunities for talented and entrepreneurial people to make money. If you have AI skills, you can offer your services as a consultant, create and sell AI-based products, invest in AI companies, or develop and sell data sets. With the growing demand for AI technologies, there are many opportunities to explore.

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Artificial Intelligence (AI) has come to revolutionize the world of technology and simplify the lives of everyone, including those who are not experts in the field. Apart from the famous ChatGPT, there are several other incredible AI-based tools that you need to know about. In this article, we’ll introduce these tools, showing that you don’t need to be a tech genius to take advantage of the power of AI. So, stay tuned and join us on this journey of technological discoveries for all tastes and skills!

Microsoft Designer

Microsoft Designer is an AI tool that is part of the Microsoft 365 package, aiming to assist users in creating attractive and professional designs and layouts. It is available in PowerPoint, Word, and Outlook, optimizing the visual presentation of documents, emails, and presentations.

The tool suggests layouts, colors, fonts, and graphics that harmonize with each other, considering the content and images provided by the user. Microsoft Designer’s AI analyzes what you insert in your document and offers design options that adapt to your content and desired style, making it easier to create visually appealing materials without needing advanced graphic design skills.

Headshot Pro

Headshot Pro is an intriguing AI software that generates realistic and customizable facial images. This tool is useful for those who need to create avatars or characters in digital projects without being an expert in 3D modeling or photography.

Unfortunately, Headshot Pro does not offer a free plan, but it’s worth considering its investment if you need a solution to create realistic avatars or characters in digital projects. With an easy-to-use interface, Headshot Pro provides various customization options, such as adjusting facial expressions, skin color, hair, and eyes. Additionally, the software’s AI can analyze facial features from provided photos to reproduce them realistically.

Runway

Adobe Podcast

Adobe Podcast is an incredible tool for those working with audio, podcasts, narrations, and other sound productions.

This platform allows for efficient and professional audio editing and enhancement, offering a wide range of features and effects that can be applied to make your content even more attractive and engaging.

With an intuitive and easy-to-use interface, Adobe Podcast is ideal for both beginners and experienced professionals in the world of audio. Additionally, the tool integrates seamlessly with other Adobe applications, further facilitating workflow between different projects.

Currently, it is available only in English, and it is a tool that requires the use of the Chrome browser to function.

Midjourney

Midjourney is an incredible AI platform that stands out for creating visually attractive images. This tool is my favorite when it comes to generating impressive images for projects. Additionally, it is available on Discord through the /imagine command, making its use even more practical. Unfortunately, it’s a bit difficult to use the free trial, but there are affordable plans starting at $10 per month that are worth it for what the tool offers.

Artificial intelligence has revolutionized the way we relate to technology and facilitated processes in numerous fields. By exploring and taking advantage of the AI tools mentioned in this article, you can unlock the full potential of these innovations, optimize your projects, and increase your productivity, regardless of your level of experience in technology. Don’t miss the opportunity to transform your work and elevate your creativity with these

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Google is taking the first steps to open access to Bard, an innovative experiment that allows collaboration with generative artificial intelligence. For now, only the United States and the United Kingdom have access to this novelty, but plans for expansion to other countries and languages are already underway. So, if you’re eager to learn more about this novelty and how it can impact the way we work and communicate, keep reading!

On March 21st, Google began opening access to Bard. This launch follows the announcements from the previous week, as the company continues to bring useful AI experiences to people, businesses, and communities. For now, the company considers Bard as an “experiment” and not a replacement for traditional searches. Google admits that the system can still provide inaccurate information, which demonstrates the importance of improving this technology through user feedback.

About Bard: It Can Make Mistakes

Bard is powered by a large-scale language model (LLM), specifically an optimized and lightweight version of LaMDA, and will be updated with more advanced models over time. An LLM can be thought of as a prediction engine. Given a prompt, it generates a response by selecting, word by word, those that are likely to come next. Choosing the most likely option each time would not lead to very creative responses, so there is some built-in flexibility. The more people use them, the better LLMs become at predicting useful responses.

However, LLMs also have their flaws. For example, they learn from a broad spectrum of information that reflects real-world biases and stereotypes, which sometimes appear in their responses. Furthermore, they can provide inaccurate, misleading, or false information with confidence. As with other chatbots, prolonged interactions can lead to the emergence of “extreme personalities.” To deal with this, Google has opted to restrict the amount of consecutive interactions that can be had with Bard. After a certain period, the chatbot forgets the previous interaction and starts a new conversation.

When using Bard, you will usually have the option to choose between different response drafts, allowing you to select the best starting point. You can continue collaborating with Bard, asking follow-up questions and requesting alternatives if desired.

Google plans for Bard to function as a direct interface to a large-scale language model (LLM) and be complementary to the Google Search experience. The idea is that with Bard, users can easily check answers generated in Google Search or research information from various sources on the internet. By clicking on “Search with Google,” search suggestions will be displayed, and Search will open in a new tab, allowing you to find relevant results and explore the topic further.

Artificial intelligence has been a growing topic of interest in the technology world, and Google is gearing up to compete with OpenAI and its phenomenon, ChatGPT. Competitors like Microsoft are already integrating conversational experiences into their search engines (Bing). While having developed the technological basis for these language models, Google has been more cautious in implementing and making these tools publicly available.

Although Google’s CEO, Sundar Pichai, has denied that new-generation chatbots pose a threat to the search engine, the truth is that integrating these technologies has the potential to transform the way we interact with the internet and seek information. At the same time, Google faces challenges related to assessing the quality of responses generated by Bard and the possible impacts on user experience.

In this context, it is crucial to follow Google’s advancements in artificial intelligence and how the company plans to tackle the challenges and explore the opportunities brought by this technology. The coming weeks should bring more information about the plans of the Mountain View giant and its strategy to stay ahead of the competition in the field of conversational AI.

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With a concise presentation devoid of unnecessary theatrics, the President and Co-Founder of OpenAI showcased the latest developments of ChatGPT. He utilized the tool to generate speeches, songs, jokes, and even code in front of millions of viewers, demonstrating impressive capabilities and potential applications of GPT-4 across various domains and tasks.

We had already shown our awe at ChatGPT‘s capabilities before, which was in its 3.5 version, but this week those capabilities reached another level! I mean, if ChatGPT was already revolutionizing everything, GPT-4 is the revolution of the revolution!

How does GPT-4 work?

GPT-4 is based on deep learning, a branch of machine learning that uses neural networks to learn from data. It was trained on a vast amount of texts and images from the Internet, covering various domains and languages, and is capable of predicting the next word or image based on input data.

Using a technique called self-attention, the model can calculate the relevance or similarity between each pair of words or tokens in the input data. For example, for an input sentence “The cat drank milk,” GPT-4 will calculate how much each word relates to every other word in the sentence, such as “cat” with “drink” or “milk.” Based on these calculations, the model will assign different weights or scores to each pair of words, determining how much attention they will receive. By doing this, it can learn which input information is most important or relevant for generating the output. For example, if the task is to complete the sentence, GPT-4 will pay more attention to the word “cat” than to “the” because it is more informative for predicting the next word.

GPT-3.5 vs GPT-4

GPT-4 is not only more capable than its predecessor GPT-3.5, but also more reliable, creative, and able to handle much more complex and nuanced instructions. To demonstrate its abilities, OpenAI tested GPT-4 on a variety of benchmark standards, including simulating exams originally designed for humans. The model was able to pass an exam with a score around 10% higher; in contrast, GPT-3.5’s score was around 10% lower. It also outperformed the previous version in its advanced reasoning capabilities.

OpenAI spent 6 months making GPT-4 safer and more aligned with human values and expectations. It incorporated more human feedback into its training process to improve its behavior and reduce harmful or biased outcomes. It also worked with over 50 experts for early feedback in domains such as security and AI safety.

A major difference is that GPT-4 can accept inputs of both images and text and output text, and has a 10 times greater capacity than its predecessor. To give you an idea, in the presentation, Greg Brockman drew the structure of a web page on paper, and GPT-4 identified what it was and returned the HTML code ready for page programming. Additionally, the tool can also describe images in detail.

The architecture used is also much more evolved, consisting of a deep neural network (called Transformer) that allows multiple layers of attention mechanisms. This enables the intelligence to capture contextual information by drawing parallels and handling large amounts of data.

When I mention the ability to handle large volumes of data, I would like to comment on a part of the demonstration where Greg Brockman copied the entire regulation and instructions for tax filing (over 100 pages) and GPT-4 was able, in seconds, to assist in filing the income tax return! Just imagine how easy our life will be to add entire manuals there and ask if what you want to do is possible! In a matter of seconds, the technology “reads” the manual and answers you, faster than you would take to locate the item in the index!

How to use GPT-4?

There are two main ways to access GPT-4: through ChatGPT Plus or through the API.

ChatGPT Plus is a chatbot service that allows users to interact with GPT-4 and other models through a web interface. Users can ask questions, request tasks, or have casual conversations with GPT-4. To use ChatGPT Plus, users need to subscribe to a plan that costs $20 per month. Benefits include faster response times, priority access to new features, and unlimited usage.

The API is an application programming interface that allows developers to integrate GPT-4 into their own applications and services. Developers can use the API to send requests and receive programmatic responses from GPT-4. To use the API, developers need to join a waiting list and wait for an invitation from OpenAI, as it is currently in beta and has limited availability.

To sign up for ChatGPT Plus or the API, users need to visit the OpenAI website and follow the instructions there. Users can also try out GPT-4 without a subscription in the Microsoft Bing browser, but with limited functionality and availability.

The complete video

Interested in seeing the full demo? Here’s the video for you.

GPT-4 is an impressive breakthrough that showcases the potential of artificial intelligence for various applications and domains. However, it is not without limitations or challenges. As OpenAI acknowledges, GPT-4 is still less capable than humans in many real-world scenarios, and exhibits human-level performance only in certain professional and academic benchmarks. It also requires careful oversight and governance to ensure its ethical and responsible use. As such, OpenAI invites researchers, developers, users, policymakers, and society at large to engage with them in exploring the opportunities and risks of this technology.

The post GPT-4: OpenAI’s Latest Breakthroughs first appeared on Caipirinha Digital

Recently, Google announced the arrival of its new natural language model, Bard. This announcement came amidst the success of ChatGPT, a natural language generation model released in 2021 by OpenAI. Since its launch, ChatGPT has been widely used in various applications, including chatbots, virtual assistants, and content generators. With Bard, Google promises to take natural language generation to a new level with an even more advanced model that aims to revolutionize how people interact with technology.

Introducing Bard

Two years ago, Google released the Language Model for Dialogue Applications (LaMDA), an advanced language and conversation technology. Now, Google introduces Bard, an experimental conversational AI service based on LaMDA, but I won’t delve too much into its origins.

Bard’s goal is to combine the vastness of worldwide knowledge with Google’s powerful, intelligent, and creative large language models, providing fresh and high-quality answers from web information. Bard can be a tool for creativity and curiosity, or for learning and then providing exercises to develop skills.

Let’s say a 9-year-old child is interested in understanding how electricity works. With Bard, it’s possible to ask questions like “How does electricity work?” and receive simple and clear answers that the child can easily understand, such as “Electricity is a type of energy that flows through wires and is used to power lamps, televisions, and other electronic devices.” Bard can even provide examples of how electricity is used in everyday life, such as turning on a computer or lighting a lamp, as well as exercises to reinforce newly learned content.

How Can I Use Bard?

The service will be available soon to the general public. What I know is that Google is launching Bard with a lighter, smaller version that requires less processing power, allowing more users to access the service and provide feedback. They are excited about this testing phase, as it will help to learn and further improve the quality and speed of Bard.

I couldn’t find official information on exactly when Bard will be available to the public. Some sources say it’ll be throughout February , while Google itself says ‘coming soon’… So stay tuned! When I find out, I swear I’ll come here to tell you.

ChatGPT vs. Bard

As language models, ChatGPT and Bard have some similarities, as both are products of Artificial Intelligence and use complex algorithms to generate responses to the questions posed to them. However, there are some significant differences between them:

Bard is a more advanced technology compared to ChatGPT, as it is designed to have more natural and fluid conversations with people.

It can better understand the context and nuances of natural language. This is possible because Bard uses more advanced Natural Language Processing technologies and incorporates a variety of techniques, such as topic modeling, sentiment analysis, and understanding user intent.

These techniques allow Bard to understand the underlying meaning of the words and phrases used by users, and thus provide more accurate and relevant answers to their questions, creating a more natural and intuitive experience. In summary, Bard is capable of maintaining a more fluid and natural conversation with people.

ChatGPT, on the other hand, is more of a tool to answer specific questions more directly.

Its main objective is to provide accurate and useful answers to specific questions posed to it, rather than maintaining a fluid and natural conversation with people.

While it can hold a conversation and respond to open-ended questions, its programming is more geared towards providing direct information and precise answers based on the context of the question. This makes it a useful tool for people who need specific information quickly and are not looking to have a broader conversation.

Bard was developed to be more specialized in a specific set of topics.

Bard was created with the goal of having specialized and deep knowledge in a specific subject area. In other words, it is capable of providing highly accurate and detailed answers to specific questions within its field of expertise.

This is achieved through its training in highly specialized language models. These models are fed with large amounts of data on a particular topic or field of specific knowledge, allowing Bard to develop a deep understanding in that area.

Thus, when a user asks Bard a question, it can access its specialized knowledge to provide an accurate and helpful answer. Additionally, Bard can learn from user interactions, further enhancing its understanding and ability to respond to specific questions.

ChatGPT, on the other hand, was designed to answer questions about a wide variety of subjects.

It has the ability to provide accurate and useful information on a large number of different topics. This is because it is trained on a huge amount of textual data, covering a wide variety of topics and areas of knowledge.

This means that the model has knowledge in many areas and can answer questions on a wide range of subjects. Additionally, ChatGPT has a flexible architecture that allows it to adapt to different contexts and situations, making it capable of handling questions in various domains, from science and technology to history, culture, among others, as well as having a more general and broad knowledge about various subjects.

As a result, it can answer questions in various areas, including science, technology, history, culture, among others, which is particularly useful for providing quick and accurate information on various topics.

Bard is able to consult external sources (internet) and integrate this information into its responses.

One of the main differences between ChatGPT and Bard is that Bard has the ability to search external resources, such as web pages, to help answer questions more accurately and comprehensively. This means that if a question requires information that is not contained in its internal database, it can search the web for relevant information to provide a more complete answer.

This ability to access external resources allows Bard to provide more comprehensive and accurate answers, even when the information is not available in its internal data set. However, it is important to note that this ability can also make its answers less reliable, as the information obtained on the web is not always accurate or reliable. For this reason, Bard is designed to verify the source of its information before presenting a complete answer.

Usage Differences

While Bard was designed to be used as a conversational interface for businesses, organizations, and chatbot developers, ChatGPT is a more generic language model that can be used for various applications, such as text generation, automatic translation, spell checking, among others.

Additionally, Bard can be customized and adapted to the specific needs of each client, making it a more flexible and customizable option. On the other hand, ChatGPT is more standardized and offers less flexibility in this regard. In summary, Bard is a more specialized and customizable technology, while ChatGPT is a more generic and standardized language model.

In conclusion, both ChatGPT and Bard are language models developed by artificial intelligence technology to generate responses to user queries. While there are some similarities between them, such as the use of complex algorithms to generate responses, there are significant differences in their programming and functionality.

It is important to remember that while Bard is an impressive and promising technology, it is not yet available for public use. At the moment, ChatGPT is a useful tool for those who need specific information quickly and are not looking to have a broader conversation. However, when Bard becomes available, it will be interesting to see how it compares to ChatGPT in terms of responsiveness and specialization in specific topics. Technology is constantly evolving, and it is exciting to think about the future potential of tools like Bard and ChatGPT.

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In recent years, artificial intelligence (AI) has become increasingly sophisticated and accessible. One of the latest trends in this area is the development of natural language models, such as ChatGPT (Generative Pre-trained Transformer), which is capturing the attention of companies, researchers, and technology enthusiasts worldwide.

But what exactly is ChatGPT, and why is it generating so much excitement?

In simple terms, ChatGPT is an AI model that can produce text in natural language, as if it were having a conversation with a person. This is possible thanks to the use of a neural network trained on a large amount of natural language data, such as texts from books, articles, and everyday conversations.

ChatGPT is an evolution of chatbot models that have existed for some time. The difference is that while chatbots are programmed to follow a set of rules and respond according to a list of predefined answers, ChatGPT can autonomously generate responses in natural language without depending on pre-established rules.

This means that ChatGPT can be used in a variety of applications, such as customer service, technical support, sales, and even entertainment. Companies like Microsoft and OpenAI are already using ChatGPT in their products and services, and there are many other potential use cases.

Furthermore, ChatGPT is a technology that is constantly evolving. With each new iteration, it becomes more accurate, capable of better understanding the nuances of language, and producing increasingly natural and human-like responses. This means that in the future, ChatGPT could be even more useful in a variety of contexts.

Concerns or Risks of ChatGPT

As with any emerging technology, there are also concerns about the use of ChatGPT. Some people are concerned about the potential for ChatGPT to be used to spread misinformation or create deceptive content. Others are worried that ChatGPT could replace jobs that were previously performed by humans. After all, technology can automate repetitive and routine tasks that were previously carried out by human employees. This could be seen as a threat to those who work in roles that can now be performed by machines.

For example, ChatGPT could be used in customer service where customers can now communicate with a machine instead of a human agent. This could reduce the need for companies to hire a large customer service team, which could lead to job losses in that sector.

Additionally, with ChatGPT’s ability to generate content quickly and efficiently, there are concerns that it could replace jobs in sectors such as journalism and content writing, where content production is the main function of workers. This could lead to job reductions in those sectors and cause concern about the future of work.

Certainly, the question of whether ChatGPT will replace jobs is highly debated, and only time will tell how this technology will impact the workforce. Some experts argue that while there may be some job displacement in the short term, ChatGPT could end up creating new job opportunities in the long term. Ultimately, the truth will likely be somewhere in the middle.

ChatGPT is likely to have a significant impact on the workforce, but the extent of that impact and whether it will be positive or negative will depend on a number of factors, including how the technology is used, how companies respond to it, and how society as a whole adapts to the changes.

How to Access ChatGPT?

Currently, access to ChatGPT is provided through the OpenAI website. To do this, you need to create an account, and then you can start chatting with the language model through the website interface.

Additionally, some companies and organizations may have access to customized versions of ChatGPT for internal use in their own products and services. However, access is usually restricted to selected developers and partners.

It is worth remembering that ChatGPT is a technology that is constantly evolving, and while it is currently available at the time of this article, availability may change over time. It is always recommended to check the latest information on the OpenAI website.

In conclusion, ChatGPT is an exciting technology that is generating a lot of discussion in the tech industry. Its capabilities and possibilities are vast, but it is important to remember that, like any emerging technology, it has its limitations and risks. Still, it is exciting to imagine how this technology could change the way we interact with language and how it could be used to improve our lives.

How Much Does it Cost to Use ChatGPT?

Currently, using ChatGPT on the OpenAI website is free. However, the company offers a $20 subscription plan that includes some advantages, such as priority access to the chat (as there is sometimes high demand from users and service interruptions may occur). It is important to note that the subscription plan is not mandatory, and free use of ChatGPT is still available to all users.

Additionally, there are special plans for using the API to integrate ChatGPT into business platforms to create chatbots with advanced conversation capabilities and customize the model training according to the specific needs of each business. This allows companies to offer a more interactive and personalized experience to users, as well as automate tasks and reduce costs with customer service. If you are curious about this topic, you can look here.

In conclusion, ChatGPT is an incredibly useful and innovative technology that is revolutionizing how people interact with technology. Although there are still some legitimate concerns about its use and potential effects, most people recognize its positive potential and are eager to see how it will continue to evolve and improve. Over time, ChatGPT is likely to become even more common and accessible, and we hope it will be used ethically and responsibly to help make people’s lives easier and more efficient.

The post What is ChatGPT? first appeared on Caipirinha Digital

How Does DALL-E Work?

DALL-E works by feeding written descriptions into its neural network. From these descriptions, the neural network generates an image that corresponds to what was described. The technology is based on deep learning, which means it learns from the amount of data it is fed, rather than following a predefined set of rules. This allows DALL-E to continuously evolve and learn to create increasingly accurate images.

Applications of DALL-E in Digital Marketing

DALL-E can be applied in various ways in digital marketing. It can be used to create customized images for advertising campaigns or for creating logos for companies. Additionally, it can be used to generate images for influencer marketing campaigns, which can help increase engagement and conversion. The ability to generate unique and personalized images can also be useful for companies that want to stand out in the digital market.

For example, if a company wants to run a beach-themed product campaign, DALL-E can create an image of a beach with specific characteristics, such as a heart-shaped palm tree or a tropical drink in the sand. This would be impossible to do manually and can help attract the attention of the target audience of the campaign.

Moreover, DALL-E can also be used to create graphics and other visual materials for the campaign, making it more complete and impactful. And as it is based on artificial intelligence, it can be adjusted to meet the specific requirements of the company and the campaign, ensuring personalized and efficient results.

Is DALL-E Free?

To answer quickly: YES and NO.

You need to use credits to generate images. Each credit is for a single request for image generation, editing, or variation. The good news is that you receive 50 free credits in your first month and 15 free credits monthly after that. These credits do not roll over to the following months, so what you don’t use, you lose when the new 15 credits come in.

So, if you use it sparingly, yes, it’s free. And if you need to use it a lot? Is it expensive? Considering the tool’s potential, I don’t think so! At the time of this post, you can buy 115 credits for $15 USD.

Do you think it’s expensive?

How to Use DALL-E?

DALL-E is a recent technology and is still being explored by developers and technology experts. At the time and location of this article, access to DALL-E 2 is possible, but as with all new technology, everything can change. Either way, here are the steps for registration.

Access to DALL-E 2 can be done through the website

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In the upper right corner, there is a SIGN UP button to create an account.

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There you can create an account from scratch or using your Google or Microsoft email. I created one with a Gmail account.

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Fill in your information to access the platform. You even need a mobile number (they send a code via SMS to confirm access)

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Once on the platform, you just need to describe the image you want, and DALL-E creates the image for you!

I wrote in Portuguese and English, and it worked well both ways.

Once the image is generated, you can request variations, edit, save, share…

And My Job, What About It?

Discutir a possível substituição de empregos humanos por tecnologias como DALL-E é um tópico complexo e polêmico. Eu sou um pouco suspeita, porque gosto muito de tecnologia e tendo a ver o processo com uma óptica positiva.

Por um lado, é verdade que a automação de certas tarefas através de inteligência artificial pode resultar na redução de empregos em algumas indústrias. No entanto, também é importante considerar que a tecnologia pode criar novos empregos em outras áreas e melhorar a eficiência em muitos setores, o que pode levar a um crescimento econômico geral.

Além disso, é preciso lembrar que a evolução tecnológica sempre foi uma constante na história da humanidade e, apesar de ter resultado na extinção de alguns empregos, também criou novos trabalhos e melhorou a qualidade de vida das pessoas. Em última análise, a utilização de tecnologias como DALL-E deve ser avaliada levando em conta os seus impactos positivos e negativos e buscando equilibrar os interesses das empresas, dos trabalhadores e da sociedade como um todo.

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