· Marcel Hahn · Events

23.08.2024 - FVI-Expertenfrühstück 06

Use of LLMs (Large Language Models) in maintenance

23.08.2024 - FVI-Expertenfrühstück 06

Announcement

The LinkedIn live event ‘FVI-Expertenfrühstück’ is a great opportunity to share and discuss expertise and innovative approaches in maintenance. This time I, Marcel Hahn, together with Jens Reißenweber, will present the integration of Large Language Models (LLM) and Retrieval Augmented Generation (RAG) in systems such as the Hahn PRO ADAM AI and the resulting new perspectives for the optimisation of maintenance processes. These technologies enable more efficient data processing and decision-making, leading to more sustainable and cost-effective maintenance.

The event provides a platform for interactive discussions where participants can address current industry challenges and jointly develop solutions. The emphasis on building a strong community emphasises the importance of collaboration and mutual support in the rapidly changing world of production and maintenance.

Read more: LinkedIn Event

Recording

https://youtu.be/kv5VRR9QKdQ

Summary

The video includes a discussion on the use of large language models in maintenance, presented by Marcel Hahn and Jens Reißenweber. Here are the main points:

  • Introduction to Large Language Models: Marcel and Jens explain the basics and benefits of Large Language Models for maintenance.
  • Practical use cases: They will show examples of how these models can be used in practice to increase efficiency and productivity.
  • Live demonstration: A live demonstration will be offered to illustrate the functionality and benefits of the models.
  • Discussion and feedback: Participants will have the opportunity to ask questions, discuss and provide feedback.
  • Future events and studies: Upcoming events and studies that may be of interest to members are mentioned. The discussion aims to raise awareness of the possibilities of large language models in maintenance and provide practical insights into their application.
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