How to Use More AI With Freelancers

While the phrase artificial intelligence used to conjure images of Skynet-style hostile takeovers of humanity, modern AI technology has taken on a far different form. 

Instead of enslaving human beings, AI systems have enhanced our lives and improved the efficiency and accuracy of our work in many different ways. 

Voice assistants like Alexa & Siri can answer questions and power smart homes; AI algorithms recommend products based on user interests, and predictive analytics programs can aid in decision-making for businesses – to name a few examples. 

Beyond that, AI is also creating new positions, including new roles for AI With Freelancers 

In fact, many companies are turning to freelancer marketplaces to aid in implementing AI solutions, especially related to generative AI. 

There’s no shortage of demand for AI artists, AI prompt generators, and machine learning experts – not to mention content creators such as writers and graphic designers that make use of the latest AI tools like GPT-3 & DALL-E. 

Have you adopted AI use into your business yet?

With 83% of companies stating that incorporating AI into their business is a major priority, it’s best to jump on board sooner than later to avoid getting left behind. 

AI has dozens of applications that span all industries, from automating repetitive tasks to personalizing customer experiences and more. 

Read on to learn how you can use different types of AI (with the help of AI with freelancer experts) to boost productivity, efficiency, and revenue. 

Understanding Modern AI Technology 

Before we venture any further, it’s crucial to know that artificial intelligence is an umbrella term that encompasses any technology that uses humanlike intelligent systems. 

In particular, AI refers to any software capable of learning, planning, or problem-solving.

Within the umbrella term ‘AI,’ there are different subsects like machine learning and deep learning, each with its definitions and use cases. 

In the early days, most AI tools were reactive machines, which means they could react and respond to external stimuli in real-time but could not build a memory base to store information for future use. 

An example is Netflix’s algorithm that recommends movies & TV shows based on your recent searches. It’s able to react to your search history, but beyond that, it lacks the ability to store and build upon its previous knowledge to perform more complex tasks. 

Enter the next and current evolution in AI technology, limited memory. 

These programs can store data and reference it to train for future tasks. All current AI tools contain large volumes of ‘training data’ that they build upon when solving future problems. Machine learning and deep learning programs fall within the limited memory category, and it’s currently the pinnacle of current AI development. 

There are two more stages in the development of AI, but we haven’t reached them yet. They are the theory of mind, which involves understanding human emotions, and self-awareness, where they have a sense of self and human intelligence. 

We’re not quite there yet, so let’s take a closer look at machine learning and deep learning. 

Machine Learning

Limited memory machines paved the way for machine learning, which are AI algorithms that can learn over time due to the data they store. 

Machine learning algorithms can process big data, which are data sets that are too large & complex for humans to sift through, let alone recognize any patterns. 

On the other hand, learning algorithms can process data 24/7 without ever getting tired or faltering in performance. That’s why machine learning has so many applications in the business world. 

Modern computers and business processes produce massive amounts of data every day, which makes data collection & analysis a real chore. 

For instance, picture all the data that a modern manufacturing plant would produce. All their machines connect to a central network, constantly feeding an endless stream of data about their functionality and production. 

That’s way too much information for any data scientist ever to hope to process, and they wouldn’t be able to locate any critical trends or patterns. 

However, this task is a cinch for a machine-learning algorithm. It’ll be able to keep up with the endless stream of data, all while identifying key patterns or anomalies. As a result, the AI will be able to instantly notify your team if it detects an issue with one of your machines. 

Besides manufacturing plants, machine learning algorithms also have applications in many other businesses. Cybersecurity companies use machine learning AI for fraud detection, and e-commerce providers use it for customer recommendation engines, to name a few use cases. 

Deep Learning 

AI research led to the creation of deep learning, a more advanced type of machine learning that attempts to mimic how humans solve problems. 

Deep learning algorithms use a complex web of neural networks that resembles the human brain, which enables the algorithm to engage in nonlinear reasoning. 

What’s that?

Nonlinear reasoning is thinking in several directions, not just one. It’s also the ability to conceptualize the steps in a process out of order to make new connections. Nonlinear thinking has long been distinctly human, but deep learning algorithms have mastered it. 

Deep learning AI is the technology behind self-driving cars, as the algorithms can contextualize the information picked up by their sensors – like how far away an object is from the car. 

It’s also a component of computer vision, which is a special type of AI where algorithms can process information from images, videos, and other visual media. 

In the past, algorithms were largely ‘blind,’ meaning they couldn’t see what an image conveyed. That’s why adding alt tags to images is a part of search engine optimization, as Google’s crawlers need physical descriptions of images to know what they show. 

Thanks to breakthroughs made by MIT, image recognition is now possible for AI algorithms. 

Computer vision also shows a lot of promise for the business world – such as aiding in medical image processing for healthcare providers, assisting with retail self-checkout, and facial & speech recognition for public security. 

The Growing Demand for AI Experts in the Business World 

You certainly aren’t alone if you want to know how to use more AI. While dozens of companies know that they want to use AI, they aren’t exactly sure what they want or need. 

After all, there are so many applications of AI that it can seem a little daunting at first. Do you need to automate your workflows, or would you see more value in implementing NLP (natural language processing) chatbots for customer service?

Once again, this is an area where freelance AI experts can save the day. 

Speaking with an AI consultant can help you identify the AI solutions that you need the most, which will help you avoid wasting money on unnecessary systems.

Thanks to the prevalence and growing demand for AI, new positions are being created on freelancer marketplaces, such as:

AI prompt generators

If you want to use AI at your company, you have to properly program your algorithms, which is where AI prompt generators save the day. 

These are experts who can ‘talk’ to your AI to get it to do what you want. For instance, you may want to generate an image but have no reference for the AI. In that case, a prompt generator can let the AI know exactly what type of image you want. 

AI content creators 

A freelance AI content creator can create website content with AI-powered tools. 

Programs like Jasper and Copymatic allow writers to write entire articles & posts based on brief descriptions. 

They’re also excellent tools for getting rid of writer’s block, as they have functions for brainstorming new topics and outlines. 

Not only that, but tools like Grammarly make proofreading and editing an afterthought. That means AI content creators will always provide work free of errors, which is a plus. 

An AI-powered copywriter can significantly increase their output while adding human touches here and there to ensure the writing is top-notch. 

There are also freelance graphic designers and web developers that use powerful AI tools to enhance their work and bolster productivity. These professionals can help you create AI-powered apps for your business. 

Generative AI artists

Freelancer marketplaces have seen a whopping increase in demand for AI professionals (a 1,400% increase), and generative AI is leading the fray. 

Companies are eager to take advantage of AI art, thanks to the explosion in popularity of apps like Lensa in 2022. It also helped that OpenAI released their DALL-E image generation model as an API – meaning any business can now create proprietary AI art. 

Talented freelance AI artists can help you create the perfect art for your business & marketing needs, which is one way you can use more AI at your company. 

Final Thoughts: How to Use More AI With Freelancers 

If you want to know how to use more AI at your company, this article has provided you with plenty of options. 

You can use AI technology to automate repetitive tasks, implement customer service chatbots, create dazzling art, and write engaging blog posts with the push of a button. 

Are you eager to find top-tier freelance AI talent at your company?

If so, don’t wait another second to check out FreeUp, the online freelancer marketplace home to the top 1% of online talent. We’re home to elite-level AI prompt generators, AI content creators, and many more – so don’t wait to start hiring today.