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How external data makes AI more reliable - Retrieval augmented generation explained

How external data makes AI more reliable - Retrieval augmented generation explained

Artificial intelligence (AI) is changing the world of work - but many companies are faced with the challenge of incomplete or unreliable answers from language models. Retrieval Augmented Generation (RAG) offers a solution: the method combines AI systems with external, verifiable data sources to create comprehensible, up-to-date and fact-based results.
Making complex data easy to understand

Making complex data easy to understand

Data often contains more knowledge than is apparent at first glance. Small and medium-sized enterprises (SMEs) in particular face the challenge of making meaningful use of unstructured information such as customer feedback or operating logs. A new method from research can help with this: so-called hyperbag graphs. They represent data as networks in which connections, patterns and weightings between different elements can be identified – for example, how often certain topics occur together.
Artificial intelligence in SMEs: from hype to real help

Artificial intelligence in SMEs: from hype to real help

Whether customer support, marketing or production - AI can become a success factor for small and medium-sized companies. However, without acceptance, clear rules and the right technology, the promises remain empty.
Artificial intelligence: from digital tool to autonomous partner

Artificial intelligence: from digital tool to autonomous partner

The road to reliable AI solutions starts now. ETH researcher Benjamin Sawicki explains how companies are actively shaping the change.
Connected for Success: Why AI Can’t Work Without Collaboration

Connected for Success: Why AI Can’t Work Without Collaboration

An SME has a promising idea for a new AI-supported product. However, it quickly becomes clear that without access to suitable data, expertise and resources, the idea is all that remains. What is missing is the right network. This is exactly what our latest article in the SME magazine is all about.
Swiss SMEs and artificial intelligence: utilising opportunities, mastering challenges

Swiss SMEs and artificial intelligence: utilising opportunities, mastering challenges

Many companies are faced with the question of how they can use AI sensibly and overcome challenges such as costs, data protection and a lack of expertise. Our new practical guide provides practical solutions.