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Special metrics for texts are also recommended, such as the Levenshtein distance. The Levenshtein distance is a metric for measuring the similarity between two character strings. It indicates the minimum number of individual character changes (insertion, deletion or replacement) required to transform one character string into the other. It is also important to carry out a thorough evaluation to determine the optimal prompt and the appropriate model in terms of costs. Every token, i.e. every word in the input, incurs costs, and larger and more powerful models are usually more expensive. Professional experiment tracking is essential to effectively keep an eye on all relevant evaluations and metrics and to be able to make informed decisions.

Using prompts in larger language models offers a more efficient and flexible solution compared to training smaller models. One of the main reasons for this is the lower risk of overfitting in larger models, as they usually have a more extensive knowledge base and higher generalization ability. Smaller models, on the other hand, can be more prone to overfitting when trained on limited or specific datasets. Larger language models are also more adaptable, as they have learned on a broader data base and indonesia consumer email list are thus better able to adapt to different contexts and use cases. This allows the models to be used more efficiently without having to go through the training process from scratch every time the requirements change. Another advantage of using prompts in larger language models is that they are better suited for use in critical domains. Since the models are not trained directly on potentially sensitive or confidential information, such as secret knowledge or health data, there is a lower risk of such information being inadvertently revealed or misused.

In contrast, smaller models trained on such data might reveal unwanted information or be unable to adequately handle sensitive content. Overall, the use of prompts in larger language models offers a number of benefits in terms of efficiency, adaptability and security, especially in critical application areas. Reducing the risk of overfitting, flexibility in changing requirements and protecting sensitive data make these models a preferred choice for a wide range of use cases and industries.

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Marc Fabian Mezger is an AI Specialist Consultant who specializes in the areas of medical deep learning, computer vision and drift. In his current role in the Competence Center AI & Data Science, he is responsible for advising customers on AI solutions and their implementation. He has extensive knowledge in the field of machine and deep learning.


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The New Science of Building Great Teams by Alex “Sandy” Pentland, Harvard Business Review, April 2012
Trust and team performance: A meta-analysis of main effects, moderators, and covariates by KS Dirks and DL Ferrin, Journal of Business and Psychology, 2002
Why agility pays by Aaron De Smet, Michael Lurie, and Andrew St. George, McKinsey Quarterly, August 2018
Investigating the effects of learning and development on employee commitment and turnover intentions by YK Teh and HY Sun, International Journal of Human Resource Management, 2015
Why Diverse Teams Are Smarter by David Rock and Heidi Grant, Harvard Business Review, November 2016



Henrik Stapel works as a Scrum Master and Agile Coach in the Competence Center Agility. His consulting and coaching focuses on imparting knowledge of agile principles, methods and frameworks as well as promoting self-organization.


In our tech blog we take you on an exciting journey through the adesso world. You can find other interesting topics in our previous blog posts.




Would you like to receive our adesso blogging update regularly? Then simply subscribe to our newsletter and you will receive the latest posts from our tech blog conveniently by email.


On our website we show you what goals adesso has set itself in terms of sustainability, what measures we want to implement and what opportunities and challenges this entails for our company .

You can find more exciting topics from the adesso world in our previously published blog posts .


Yelle Lieder is Green IT Lead at adesso. As part of the CIO Advisory Competence Center, he focuses on strategies for measuring and reducing the environmental impact of IT systems and on using technology to achieve sustainability goals.