LLMs in R&D Insights
35.000+
Speakers with real-world experience
Practical experience over textbook knowledge
What you will learn
- Fundamental understanding of LLMs
- Pros and cons of LLMs
- Real LLM applications in R&D
- Best practices and learnings from industrial LLM projects
- LLM use case identification
- Implementation challenges and common pitfalls
Who is this course intended for?
Experience the most important information on current topics and trends in a compact setting of up to 2 hours online-course duration. No matter if you want to learn more about new developments in your core business or if you want to think outside the box, our Insights enable you to do so based on our market and technology experiences.
As part of the Insights training format, participants as explorers have the opportunity to gain access to cutting-edge technologies and innovative insights in compact content on current trending topics in order to stay on top of the rapidly changing subject areas and stay up-to-date.
About this Training
This course delves into the use of Large Language Models (LLMs) in the field of Corporate Research and Development (R&D). It presents proven methods to use GenAI in innovative ways that go beyond typical applications and aim to increase efficiency and performance. Drawing on tangible instances and case studies derived from our direct experience and collaborative projects with client firms, you will gain insights into the impactful integration of GenAI into your research and development processes.
Why this Training is right for you
Ideal for professionals seeking to leverage LLMs in R&D, this training addresses both the potential and the pitfalls of LLMs, offering insights into secure, impactful applications across your processes.
Training Goals
By the end of this training, you will be equipped with the knowledge on how the effective integration of Large Language Models into your R&D strategies and processes looks like and how it can support you in fostering innovation and productivity.
Trusted by leading companies
Our Partners
Speakers
Tim Schroeder studied Electrical Engineering & Information Technology as well as Business Administration and General Management at RWTH Aachen University. As the Head of Artificial Intelligence at the INC Innovation Center, he led multiple bilateral and multilateral projects in the areas of Industry 4.0, Logistics 4.0, and Artificial Intelligence. Through technology scouting, data analysis, and AI assessments, he assists companies in successfully implementing new innovations.
