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All You Need To Know About Generative AI and Its Uses on LinkedIn

  • Felix Rose-Collins
  • 6 min read
All You Need To Know About Generative AI and Its Uses on LinkedIn

Intro

Picture a world where you can get all your tedious tasks done in minutes. With the help of your AI assistant, you can save time, making room for more important pursuits in your schedule.

AI technology is increasingly becoming more robust, allowing for streamlined and efficient completion of repetitive tasks. It's why businesses of all sizes are turning to AI technology to reduce costs, gain efficiencies, and improve customer experience.

Whether you embrace it or not, AI technology is becoming increasingly prevalent in the digital age. It's vital to understand this technology's potential, its drawbacks, and how it can increase productivity on LinkedIn.

What Is Generative AI

Generative AI is an exciting subset of artificial intelligence. It not only interprets information but also creates original content. Generative AI combines the power of machine learning, deep learning, and artificial intelligence to produce text, video, audio, code, and images.

The viral ChatGPT is one example of a generative AI. On the more notorious end of the generative AI spectrum are deep fakes, which are manipulated videos and images known to be used to create realistic false media, potentially with malicious intent.

What Is Generative AI (Credit: Experian)

How Generative AI Works

How does a dog learn a new trick? A human can show the dog how to do it, and the dog will learn through observation and repetition.

The same is true for generative AI. Data scientists and developers train a Generative AI model by providing data and feedback. From there, the AI 'learns' by analyzing past data, recognizing patterns, and developing insights to create new, original output.

Benefits of Generative AI

Why did humans create AI in the first place? The answer is simple: to make life easier for humans. Generative AI is no different, and there are multiple benefits to leveraging this type of technology, including:

Higher Efficiency

To err is human. Generative AI eliminates the potential for human error by providing faster yet more accurate results. This technology can also reduce manual and repetitive tasks, allowing businesses to maximize resources.

Higher Productivity

With higher efficiency and accuracy comes higher productivity. Getting AI to support certain business processes and operations will allow businesses to focus on more pressing tasks.

Cost Savings

Small-medium businesses with fewer human resources can benefit from the cost-saving opportunities presented by generative AI. By replacing human labor with AI technology, companies can save time and money while still getting high-quality output.

Improved Creativity

Generative AI can provide inspiration and ideas to spur creativity. Think of AI as an additional brain that will brainstorm with you. When you find yourself stuck in a rut, AI can be that one reliable friend with an unfailing source of ideas and insights you need to spark innovation.

Better Decision-Making

AI also helps businesses gain deeper insights into customer preferences and trends, allowing them to adjust their strategies accordingly.

Challenges With Generative AI

While the field of Generative AI has made great strides, some challenges and complexities still come with adopting AI into your business and daily life.

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Limitations of ChatGPT (Limitations of ChatGPT, a Generative AI technology)

Data Quality

AI models rely heavily on data accuracy and quality. Inaccurate or insufficient data training sets can lead to poor outputs. Textify Analytics ensures high data quality by providing robust tools for data validation and cleansing.

Security

Some people use Generative AI for malicious intent. For instance, there have been numerous accounts where people use deep fakes in the media to further certain political agendas.

Capability Overestimation

Generative AI can only create outputs based on the training materials given. If the AI is not trained properly, the generated output will be inadequate, leading to faulty decisions and wasted resources. For instance, the AI technology may be oblivious to recent world events if the training materials pre-date them. As a result, it may not yield accurate factual insights.

Unexpected Outputs

For most generative AI technology, humans must provide it with prompts or input. In order words, you will have to ask the right questions to get the result you desire. It is difficult to control the AI's output and may occasionally generate unexpected or inaccurate results.

Overall, generative AI is a powerful technology that can help businesses streamline their operations. However, it is crucial to remember that Generative AI has limitations and should be used with caution and awareness. With the right knowledge and strategies, businesses can leverage the power of Generative AI to gain an edge in their respective markets.

Can AI Be As Creative As Humans?

Creativity has been the hallmark of humanity for all of recorded history. Certainly, other creatures can solve problems and build intricate structures with skill and precision. Beavers can construct dams out of mud and sticks that can withstand great pressures and floods. Chimpanzees can use tools to fish for termites.

However, nothing in nature yet contends with the human mind. We have used our creativity to build cities, bridges, and monuments that rise into the sky. We have used our creativity to write stories that move people to tears and joy, compose music that stirs the soul and transcends time, and create technology that connects us across the globe.

Thus, it begs the question: can AI truly be as creative as humans?

The Difference Between Humans And AI

Although AI can now easily beat us in chess, there is still a significant difference between human creativity and AI.

Human creativity comes from our unique ability to innovate, imagine and draw upon all of our experiences to come up with something completely new. Conversely, AI is limited by what has been taught or programmed into it by its human creators.

Without human creators feeding it with the right information, AI can't think outside of the box. While it may be able to process data faster than we can, it lacks the capacity for abstract thinking that brings about true creativity.

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Nevertheless, the concept of co-creativity has emerged amid the growing interest in the use of AI in more artistic creative processes such as art, music, and literature. The idea is that AI serves to augment human creativity rather than replace it.

In this way, AI can bring new perspectives and insights to the creative process while still allowing human creativity to be its driving force.

How Generative AI Is Used In LinkedIn

Generative AI has become one of the most popular applications of AI in social media platforms. LinkedIn, the professional networking website, is no exception. Here are some ways LinkedIn users are using Generative AI to maximize their profile on the platform:

Comment Creation For LinkedIn

Comments and engagement for posts on LinkedIn have always been scarce. As LinkedIn is a professional platform, most hesitate to leave comments, fearing that their responses would be judged and viewed as unintelligent, inappropriate, or uninteresting.

Prospects who create content on the platform want their content seen by their connections. However, without engagement to drive visibility, that is hard to achieve. AI can turn this problem to your advantage.

Technology like Engage AI exists to serve as a conversation aide. It provides suggestions for what you can say based on your prospect's post.

Comment Creation For LinkedIn

With the AI adding novel perspectives and you, the human, customizing the responses in your voice, your prospects will surely appreciate the comments you leave. You can break the ice with your replies, thus allowing the relationship to flourish even further.

Content Creation For LinkedIn

For those with neither time nor resources to write or create original content for LinkedIn daily, Generative AI is increasingly becoming a go-to choice. Recently, numerous AI technologies have emerged in the market to support content creation for LinkedIn.

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From crafting LinkedIn posts to long-form articles, software such as Jasper AI gives you a helpful outline to work with. Nevertheless, it can never replace your own ingenuity. Co-creating with AI stops writer's block from rearing its head and saves you time, but you must still bring the final product to life with your own voice, just like any other piece of content.

Visual Creation For LinkedIn

Eye-catching visuals behold attention, even on LinkedIn. As stock images have become oversaturated on social media, many seek alternatives. Generative AI is now at the forefront of creating visually appealing graphics on the platform.

With just a few keywords, AI can tailor and design unique and relevant images. For instance, OpenAI's DALL·E 2 is one of many popular AI tools with the capacity to generate images from text descriptions.

Example of text-to-image generation by OpenAI's DALL·E 2 (Example of text-to-image generation by OpenAI's DALL·E 2)

Conclusion

As technology advances and AI becomes increasingly sophisticated, it will be interesting to see how various industries further incorporate Generative AI into their processes.

AI can be a powerful asset if you view it as a productive tool that augments your creative processes rather than a disruptive one that takes away your job. Through co-creativity, Generative AI can become a reliable companion that will revolutionize the way you work, so be sure to give these tools a try to maximize your opportunities on LinkedIn and other social networks.

Felix Rose-Collins

Felix Rose-Collins

Ranktracker's CEO/CMO & Co-founder

Felix Rose-Collins is the Co-founder and CEO/CMO of Ranktracker. With over 15 years of SEO experience, he has single-handedly scaled the Ranktracker site to over 500,000 monthly visits, with 390,000 of these stemming from organic searches each month.

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