What Is Generative AI, and What Is It Capable Of?

Talks about how artificial intelligence can replace various specialists are heard more and more often. Specialists on the highest levels declare that the development of AI is going faster than expected, and that’s why it may soon replace employees in several positions.

The first “candidates” for replacement are software engineers, Q&A specialists, and other IT-related staff, mostly because AI-based tools can generate code and implement the needed changes without human intervention.

However, will it work as expected? How far will artificial intelligence go? Is there a chance to replace workers in other positions (imagine your research paper writer will be replaced by AI)? Keep reading as we will dive into this topic and get the questions answered.

What Is Generative AI

What Do We Know About Generative AI?

First, let’s clarify what type of artificial intelligence is able to replace the specialists we mentioned. It’s called generative AI, and according to its name, it can generate images, videos, text, and mixed content.

In the early stages, such systems were able to create separate pieces of content. However, it can generate scripts, poems, stories, outlines for articles, and code for programs and applications today.

ChatGPT, the most popular model of generative AI, creates content based on the received input. You give a prompt and receive data in response. Sometimes, the program may ask you to clarify details to make the answer more accurate.

ChatGPT is based on machine learning techniques, so the generated content won’t look human-made. In most cases, people implement changes to make it understandable.

However, engineers work on improving the capabilities of ChatGPT by upgrading the algorithms or adding new features and plugins.

For example, a plugin called WebPilot can analyze provided web pages and highlight specific information. For example, if you need stats on specific requests or an overall analysis of the page, you may use this plugin.

What Is Generative AI

Key Aspects of ChatGPT, Gemini, and Dall-E

Since we talked about ChatGPT, it makes sense to mention the other two major players in the artificial intelligence league: Gemini and Dall-E. Let’s underline their key aspects to understand what they are capable of.

Gemini – This artificial intelligence powered by Google is using a mysterious language model. It’s not a metaphor, as it’s still difficult to understand its design and potential.

Experts confirm that Gemini has advanced levels, as it recognizes text, images, and sounds, so you can use combined prompts to get the needed data.

ChatGPT – This AI is considered the best so far, but now Gemini is slowly taking advantage due to its advanced capabilities.

Still, ChatGPT remains more popular among specialists who need artificial intelligence for work or personal reasons.

The latest upgrade, ChatGPT 4, allows you to work with custom prompts and models, which is perfect for creators, designers, coders, authors, and other specialists. Pay $20 per month, and your capabilities will rise significantly.

Dall-E – Dall-E is a machine learning system that allows you to work with neuron models, images, and other visuals. It’s a tool that creates visual content from the text.

Based on ChatGPT-3, this AI-based system allows you to create visuals of different shapes. You can use the generated models or customize them according to your needs.

What Can Generative AI Be Used For?

There’s a common misconception that artificial intelligence replaces specialists 100%, so they should only give commands and relax while the machine does the job.

The truth is that AI only helps people complete specific tasks by simplifying routine processes. For example, you can ask AI to generate templates for emails and newsletters.

Another way to use AI is to generate photorealistic images for presentations or blog post articles. The system analyzes the text and generates an image representing the post’s sense.

If you need a video for promotion or a lifestyle blog, ask an AI-based program to write a plot. You can correct it later, but for the first time, you will have a basic concept describing the main chapters of your video. When giving a prompt, be specific and ask the program to highlight key takeaways.

Benefits and Limitations of Generative AI

No perfect program or algorithm exists, and generative artificial intelligence is no exception. You should consider that this is not a perfect tool when you use it. To better understand it and know when to use it, it’s good to know its strengths and weaknesses.

The main advantage is the ability to automate manual processes and simplify operations that are done with templates. Also, artificial intelligence allows you to analyze huge amounts of data, create summaries, and use it for your purposes.

Moreover, you can adapt content creation to a specific style (for example, create a bibliography for the coursework in APA writing style).

If we talk about limitations, it’s essential to mention that AI does not mention the source of content. In most cases, ChatGPT or Gemini can’t access the website to give you a direct link to the article.

They will give you a link to the main page, and that’s it. Another minus is that AI-generated content is emotionless and dry.

If you use generated text in the article or a blog post, you should rewrite it manually. Moreover, generated content may damage the page, lowering your ranks and reducing the overall engagement level.

There are also concerns about the ability of generative AI to provide original content. Those who used such content spotted plagiarism, so they had to rewrite it or remove parts of the text completely.

Also, there are concerns about the ability to generate content that matches the needed search engine optimization standards.

You can ask the system to implement keywords and even add hyperlinks, but will it meet the existing standards? That’s a question.

How Generative AI Can Help People From Different Areas?

The best option for using generative AI is to create templates, plans and outlines for more complex content. Since machine-generated data lacks readability and uniqueness, it may not be good for posting on social media or websites.

Start by creating auxiliary elements that simplify further steps and help you come up with better content later. Moreover, if the audience expects high-quality content, take time to rewrite generated parts so they will be readable and more SEO-friendly.

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