Description
Large language models (LLMs) such as ChatGPT and similar AI technologies open up new possibilities for data-driven processes in laboratories. They analyse large text and data sets, provide precise evaluations and support well-founded decisions - from automated documentation to the optimization of complex workflows.
The strengths of LLM are also played out in quality management. AI tools automatically create and update documents such as SOPs or audit reports and support auditors with planning and reporting. QM AI also makes it easier to search through large and/or complex documentation and answers questions without time-consuming research.
The seminar shows in a practical way how AI can be integrated into laboratory processes and QM landscapes: from automated plausibility checks to innovative documentation solutions.
This seminar is aimed at:
- Laboratory managers and management functions in research, development and quality control who wish to acquire a basic understanding of the use of AI in the laboratory environment.
- Quality managers and QA officers who want to use the advantages of AI to optimize their laboratory and quality processes.
- IT, LIMS and data managers who are preparing to implement AI solutions in the laboratory.
After this seminar
- you will have gained a sound understanding of the basic concepts and functions of Large Language Models (LLMs).
- you will be able to recognize and critically evaluate the potential and limitations of LLMs in the laboratory.
- know the basic concepts and advantages of using AI in quality management.
- you are aware of possible application examples or techniques for automating documentation in quality management.
- you can develop strategies on how audits can be planned, carried out and evaluated more efficiently with AI support.
You can find the complete program here.
