Benchmarks can barely keep up with the enormous leaps in the development of large language models (LLMs). Many people have already tested ChatGPT, Aleph Alpha and similar tools and were impressed by the linguistic quality of the results. However, the question remains as to what added value these language models offer in business use and which ones can best be integrated into corporate IT solutions. The AI experts at Lufthansa Industry Solutions (LHIND) examined the business value of various LLMs using concrete examples. The focus was on how the models analyze content, recognize, and categorize required information, and present it in a bundled form.
Norderstedt, February 2, 2024 - The topic of artificial intelligence (AI) has arrived in German companies. According to a recent survey by the digital industry association Bitkom, only 15 percent of respondents are using AI in their companies, but more than two-thirds (68 percent) consider AI to be the most important technology of the future. Generative AI, however, is used by only 2 percent of companies, and more than half of those surveyed see little benefit in it.
"LLMs can make a significant contribution to analyzing large volumes of unstructured data and gaining valuable insights. Companies can use these models, for example, to analyze customer feedback, process company-specific documents in a precise and understandable way for employees, or even develop predictive models," says Lasse Neumann, IT Consultat at LHIND. "However, selecting the right language model and adapting it to the respective requirements is crucial."
