Successful interaction with ChatGPT requires that effective prompts are formulated. Failure to do so can lead to misunderstandings or even misleading responses from the bot. Therefore, in this blog article, we will take a closer look at how to write high-quality prompts to maximize the potential of ChatGPT.
The revolution eats its own children. This saying, based on a passage in Georg Büchner's drama "Danton's Death", currently seems to apply to the world of technology. Since the emergence of ChatGPT, there has been a lot of discussion about whether, and if so, which professional groups might have to retrain. Even programmers, the spiritual fathers of generative AI, do not seem to be spared. But is this really true? Here we analyze what speaks for and against it.
Where there is shadow, there must also be light. Just as you can turn this well-known adage around, you should also look at the discussion surrounding the impact of artificial intelligence (AI) on the job market. Following the current discussion, we recently just looked at which professions are potentially at risk from the AI revolution. However, it is often forgotten that such fundamental innovations also create new jobs. After all, who would have thought, for example, that the invention of the car would eventually make the job of professional driver possible? Many former coachmen certainly did not expect to find a new job here at the time. So let's take a look at what options are opening up from today's perspective.
In recent months, we have heard a lot about what generative Artificial Intelligence (AI) can currently do and to what extent it will influence our lives. As always since the invention of the steam engine, such revolutionary technological innovations raise the question of which occupations it may replace in the future. It is reasonably certain that activities that involve a high degree of repetitive processes can be automated and thus rationalized more easily than those that have a focus on cognitive and interactive actions. So we too are looking at which occupations fall into this category and will at least change significantly. In a second article, however, we will also take a look at professions that are newly emerging as a result of AI. For both perspectives, we want to be optimistic that AI will create more benefits than harm.
In today's digital world, Big Data and Artificial Intelligence (AI) are two terms on everyone's lips. The question arises as to what these two phenomena have to do with each other and how they influence each other. In this blog post, we therefore want to explore the role of Big Data in training AI systems and find out how big data analysis can help improve AI systems.
The use of Artificial Intelligence (AI) in speech technology has changed the way we communicate with each other. AI systems allow us to overcome language barriers and have conversations in different languages. This can offer a variety of benefits, both for personal and business use. Here we present how you can benefit from it yourself.
Unsupervised learning is a Machine Learning technique that can detect patterns and relationships in data without relying on a pre-existing pattern. Unlike supervised learning, which trains an algorithm based on labeled data, unsupervised learning works with unlabeled data that is not characterized by a specific category or objective. In this way, new insights can be gleaned from the data that may not be detected using other methods. In this blog post, you will learn about the potential applications for unsupervised learning and the challenges we currently face.
In recent years, Blockchain Technology has established itself as one of the most important innovations in the digital world. Originally developed for the cryptocurrency Bitcoin, it has now found use cases beyond the financial world. One of these use cases relates to creating transparency in supply chains and promoting environmental and social standards. In this blog post, we will therefore take a closer look at the potential impact of Blockchain Technology on sustainable business.
The digital revolution has changed our lives in many ways. Big Data and the Internet of Things (IoT) are two key technologies that play a decisive role in this. But how are Big Data and IoT related? And how can Big Data analytics help collect, analyze and use data from connected devices to make intelligent decisions? In this blog post, we will explore these questions and also discuss why digital in metering does not automatically mean smart.
Climate change is one of the greatest challenges of our time. Not only politicians and governments, but also companies and private individuals are called upon to do their part. This is where artificial intelligence (AI) and machine learning (ML) come into play. In our article, we explain which application scenarios there are for AI in climate protection and what advantages result from them.
Artificial intelligence (AI) has become an important tool in many fields in recent years, from medicine to business to industry. However, AI systems also have their limitations. One of the biggest challenges in their use is explaining the decisions these systems make. For example, it is a legal requirement that financial institutions disclose how AI-based lending decisions were made and the criteria used to approve or reject loans. In this article, we will therefore take a closer look at how AIs make decisions and how they can be influenced or guided, if necessary.
Blockchain Technology has attracted a lot of attention in recent years, mostly because of its role in cryptocurrencies. However, blockchain also has the potential to revolutionize other industries, including the art world. In this blog post, we will explore how Blockchain Technology can be used in the art market to solve problems such as counterfeiting and theft.
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