
adesso BLOG
04.12.2024 By Andy Schmidt and Milena Fluck
Prompt Engineering – A Cognitive Approach
Prompts drive thinking, writing, and creativity – in school, at work, or when using AI. The art of formulating clear and effective prompts can be crucial, whether in the classroom or when working with language models. A well-designed prompt guides responses, sets clear expectations, and invites reflection. This blog post shows how ‘prompt engineering’ is a creative, cognitive approach to helping people and machines perform at their best.
Read more28.11.2024 By Nehir Safak-Turhan
The symbiosis of regulation and innovation – regulation as a catalyst for AI in finance?
Regulation is driving AI-based innovations in banking! Even if, at first glance, regulation with its strict rules and requirements is perceived as a brake on innovation, in many cases it sets the rules that ensure legal certainty and orientation. In this blog post, I will take a closer look at the impulses from a regulatory perspective that strengthen this symbiosis.
Read more27.11.2024 By Libero Raspa
Current Areas of Application of AI in the Banking Sector
AI is revolutionising the banking sector and opening up a wide range of opportunities to increase efficiency, better respond to customer needs and meet regulatory requirements. From intelligent chatbots to automated credit processes and real-time fraud detection, AI is changing the way banks operate and interact with their customers. This blog post provides an overview of the current possibilities for using AI in the banking sector in the front and back office, as well as in the regulatory environment.
Read more29.10.2024 By Milena Fluck and Daniel van der Wal
Creativity: Cognition and GenAI - Part 3
In the first two parts of this blog post, we looked at the concept of creativity and the role of humans and their creative potential in the creative process. In this part, we take a broader perspective and look at how some approaches from the field of GenAI work in connection with human cognitive processes.
Read more30.09.2024 By Christian Nölke
TrustworthyAI – Insurance AI in practice
AI has been the megatrend of recent years. No company, no trade fair, no provider can do without this magic word. And yet, when it comes to insurance companies, I see a clear reluctance to use these methods in practice. In my blog post, I show how TrustworthyAI makes the use of artificial intelligence in the insurance industry safe and efficient.
Read more20.09.2024 By Sascha Windisch and Immo Weber
GraphRAG: Utilising complex data relationships for more efficient LLM queries
Companies and authorities are often faced with the challenge of finding relevant information in huge amounts of data. Although Retrieval Augmented Generation (RAG) is still a relatively new technology for targeted retrieval of local domain knowledge, the technology often fails to aggregate complex distributed information. This is where GraphRAG comes into play. We present it in detail in this blog post.
Read more19.09.2024 By Ellen Tötsch
Down the Rabbit Hole: LLMs and the search for the perfect answer
A lot has happened since the breakthrough for Large Language Models (LLMs) with ChatGPT. What has remained is our desire to supplement these language models with further knowledge. There is no longer a one-size-fits-all solution, but there are numerous possibilities. This blog post provides an overview of the various options for optimising LLMs.
Read more10.09.2024 By Oleg Smolanko
GenAI and its application
GenAI has revolutionised the way we experience technology. These advanced models are able to produce text, images and even videos by performing creative tasks autonomously. Their multimodal capabilities are particularly fascinating: They process different input data, be it texts, images or videos, and convert them into impressive results. From medical diagnostics to innovative applications in image processing - the potential uses of GenAI are virtually unlimited. In this blog post, I show how this technology will shape our future.
Read more02.09.2024 By Siver Rajab
Entity Linking: How Large Language Models are Revolutionising Data Processing
In the world of data processing, there are various approaches to improving efficiency and accuracy. One particularly promising approach is the use of Large Language Models (LLMs) to improve the linking of entities through entity linking. In this blog post, I will highlight the new possibilities and advantages of this technology.
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