adesso Blog

Artificial intelligence (AI) has started receiving bad publicity since Midjourney and ChatGPT came on to the scene. Not only are the ethical and economic implications of large-scale AI models the subject of much discussion, concerns about their environmental impact are getting louder, too. With that in mind, I will use this blog post to explore the question of how sustainable AI really is and – spoiler alert – what we need to do to make AI more sustainable. You will also learn why training the models is not the biggest problem from an environmental standpoint.

In this blog post, I will explain what generative AI does and how it can be used in creative fields. I will be presenting issues and risks associated with this technology as well as its impact on the creative industry and how people work in this space. You can look forward to fantastic insights into the fascinating world of generative AI, and you will also find out learn how it can change the way we make art, music and even literature.

Large language models (LLMs) such as Aleph Alpha or OpenAI are shaking up the world. ChatGPT has sparked discussions about AI. While AI models make life easier, they also pose new challenges. However, not only can we use LLMs to gather information, but we can also use them to make decisions for us and ask them for help. But how reliable is this technology and would we trust it with a human life? I will answer these questions in my blog post.

I would like to use this blog post to introduce you to the key buzzwords and concepts that are essential for navigating the field of artificial intelligence (AI). You will learn more about topics such as neural nets, machine learning, supervised and unsupervised learning, transfer learning and much more. The aim of this post is to briefly explain the most important concepts you need to take a quick trip into the world of AI.

In this blog post, we will introduce OpenAI’s latest stroke of genius: GPT-4, the latest and most advanced version of the generative pre-trained transformer language model. With the ability to process both image and text inputs and produce human-like text output, GPT-4 demonstrates human-level performance at various professional and academic benchmarks. Its enhanced reasoning, knowledge storage and coding capabilities make the application a powerful tool for natural language processing tasks. You will find out more about the development and use of this cutting-edge technology in our blog post.

The hype surrounding AI language models shows no signs of slowing – large language models in particular, such as ChatGPT, are the talk of the town. But which models are there, and what is the status of their development and commercialisation? With my blog post, I would like to provide a rough guide to the jungle that is large AI language models.

The shortage of skilled workers has pushed IT managers to look for ways to automate processes. This is so they can reduce their employees’ workloads, while also aiming to increase user satisfaction. An increasingly popular option – especially in the IT and/or enterprise service management environment – is to use chatbots. This blog post will discuss the added value of ServiceNow’s chatbot solution, which is called Virtual Agent.

Imagine the following scenario: manufacturing companies see the suppliers’ stock levels in the system and can say exactly when the delivery will be made, and bottlenecks no longer exist because the required amounts of product have been (re)ordered with the help of predictive monitoring. This will be possible in the future – namely with a self-driving supply chain. I will present this concept in more detail in my blog post.

In my blog post, I will take a brief look back at the major topics from the world of AI in 2022. These include ChatGPT, the question of whether AIs have consciousness and the European Union’s AI Act. I will discuss some of the main highlights and take a look ahead to 2023.