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AI

04.12.2024 By Andy Schmidt and Milena Fluck

Prompt Engineering – A Cognitive Approach

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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.

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AI

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.

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AI

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.

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AI

29.10.2024 By Milena Fluck and Daniel van der Wal

Creativity: Cognition and GenAI - Part 3

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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.

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AI

30.09.2024 By Christian Nölke

TrustworthyAI – Insurance AI in practice

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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.

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AI

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.

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AI

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.

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AI

10.09.2024 By Oleg Smolanko

GenAI and its application

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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.

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AI

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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