How to use AI as a beginner

For beginners, AI can seem unclear and hard to grasp at first. With our practical guide, you’ll quickly un­der­stand the purpose of each concept and how it works.

Why is AI worth­while even for beginners?

The vast field of AI is well worth exploring, even for beginners. While the topic might seem complex and mul­ti­fac­eted at first, it holds immense potential to ac­cel­er­ate, automate, and ul­ti­mate­ly optimize processes in the (near) future. Using AI in busi­ness­es can make many tasks more efficient and often enables many processes to operate unnoticed in the back­ground. The benefits AI brings are sure to be of interest to you as well.

With the right tools, many tasks can be completed more ef­fi­cient­ly and securely. AI is designed to assist by taking over time-consuming steps, working not only much faster but also with fewer errors. This allows you to focus on the important aspects and work more ef­fec­tive­ly. AI is already being used in many areas of life today.

In this article, we’ll give you a brief overview and explain the key terms, methods, and tools. For more detailed in­for­ma­tion on each topic, check out our Digital Guide.

AI beginners guide

The field of ar­ti­fi­cial in­tel­li­gence is packed with countless terms and topics. However, for AI beginners, the following concepts are more than enough to get started.

Ar­ti­fi­cial in­tel­li­gence

Ar­ti­fi­cial in­tel­li­gence or AI is a branch of computer science aimed at training machines to best mimic human in­tel­li­gence. While it may never be fully possible due to the com­plex­i­ty of human in­tel­li­gence, AI can already achieve im­pres­sive results, es­pe­cial­ly for highly spe­cial­ized tasks. The foun­da­tion of any AI is extensive training.

Machine Learning

The most important aspect of AI training is machine learning. For this, systems are “fed” with large and diverse datasets. Using various al­go­rithms, AI detects patterns within this data and learns to make pre­dic­tions and decisions based on them. The larger the dataset and the better the al­go­rithms, the more accurate the results will be. This area of AI is therefore of utmost im­por­tance for beginners and pro­fes­sion­als alike.

Deep Learning

Deep learning is a subset of machine learning. It involves equipping machines with an ar­ti­fi­cial neural network which is largely modeled after the human brain. This enables the machine to identify complex patterns within large datasets with high accuracy. These networks consist of multiple layers and are used, for example, in image recog­ni­tion and speech recog­ni­tion.

Embodied AI

AI is also used in physical systems. This form of AI is called embodied AI. Through sensors, machine learning, co­or­di­nat­ed motor skills, and feedback loops, drones or robots, for example, can interact with their en­vi­ron­ment and au­to­mat­i­cal­ly initiate and carry out necessary tasks.

Image recog­ni­tion

AI image recog­ni­tion is used to detect, analyze, and cat­e­go­rize objects, specific people, or ac­tiv­i­ties within a single image or across multiple images. With the right training, text can also be rec­og­nized and processed further. Image recog­ni­tion is used across various in­dus­tries and, due to its high accuracy, can sig­nif­i­cant­ly improve ef­fi­cien­cy in workflows.

Natural Language Pro­cess­ing (NLP)

Im­pres­sive results are also being achieved in the field of natural language pro­cess­ing (NLP). This aspect of ar­ti­fi­cial in­tel­li­gence focuses on human-machine in­ter­ac­tion. Through extensive training processes, the machine learns to un­der­stand, interpret, and even generate human or natural language. Even for beginners, this AI tech­nol­o­gy is often part of everyday life. It’s used in voice as­sis­tants, AI chatbots and chat analysis.

Large Language Models (LLM)

Large language models (LLMs) are also based on machine learning. These models process large amounts of data, recognize patterns within the col­lec­tion, and then learn to un­der­stand and summarize text. Thanks to deep learning, these models train them­selves and can sub­se­quent­ly create their own text, generate code, or optimize existing sentences. Large language models are part of the Foun­da­tion Models (FM).

Foun­da­tion Models (FM)

Foun­da­tion models (FM) not only un­der­stand text, analyze details, and process inputs, but their scope extends beyond working with text alone to include other data types, such as images and videos. These models are primarily used in product de­vel­op­ment, customer service, and research.

Ar­ti­fi­cial in­tel­li­gence for IT op­er­a­tions (AIOps)

Thanks to ad­vance­ments in machine learning and natural language pro­cess­ing, AI can now take on valuable IT tasks even for beginners. Tasks like analysis, di­ag­nos­tics, system mon­i­tor­ing, data backup, and reporting are automated through AI for IT op­er­a­tions (AIOps).

Vector databases

Vector databases store mul­ti­di­men­sion­al data in the form of numerical vectors, es­sen­tial­ly co­or­di­nate points in a multi-di­men­sion­al space. This makes them par­tic­u­lar­ly useful for AI tools, as they simplify the search for sim­i­lar­i­ties and patterns.

Gen­er­a­tive AI

Gen­er­a­tive AI refers to AI solutions capable of gen­er­at­ing new content based on a specific training dataset. The relevant tools analyze vast amounts of data and then create new data that resembles the known content. These can include a wide variety of content types. Well-known examples of gen­er­a­tive AI are the text generator ChatGPT and the image creation software DALL-E.

AI video gen­er­a­tors

Videos can already be created from scratch using ar­ti­fi­cial in­tel­li­gence. Even for beginners AI video gen­er­a­tors are easy to un­der­stand and deliver im­pres­sive results. The quality of the finished clip primarily depends on the accuracy of the provided prompts.

AI websites

There are plenty of AI websites. These platforms offer various tools and resources to explore and apply the pos­si­bil­i­ties of ar­ti­fi­cial in­tel­li­gence. From text gen­er­a­tors that help quickly create content to image gen­er­a­tors that develop creative designs from simple inputs – AI websites open new avenues for ef­fi­cien­cy and cre­ativ­i­ty. A list of the best AI options for beginners and advanced users can be found in our Digital Guide.

Pro­gram­ming with AI

Pro­gram­ming with AI offers exciting op­por­tu­ni­ties for both beginners and advanced users. With the help of AI code gen­er­a­tors you can analyze, optimize, and even au­to­mat­i­cal­ly generate code. These ap­pli­ca­tions use machine learning and large language models to detect errors, suggest im­prove­ments, or take over entire pro­gram­ming tasks. Es­pe­cial­ly in the de­vel­op­ment of websites, apps, or au­toma­tion processes, AI tools save time and enhance ef­fi­cien­cy.