A short series about data preparation, human-AI interaction and team empowerment
Generative AI stands as a transformative force set to disrupt industries, offering businesses unparalleled opportunities to automate content generation, personalize customer experiences, and streamline product development processes, ultimately driving innovation and competitiveness in the marketplace.
During this webinar series, with five episodes, the EDIHs ATTRACT and Südwestfalen will pool their expertise as part of their collaboration and highlight five interesting facets in the field of generative AI that enable companies to leverage the technology to their business advantage.
All episodes start at 9:00am (GMT+1) .
to be updated
Past Webinars
Prompt engineering is a crucial skill for leveraging the power of Generative AI. The effectiveness of AI models depends significantly on the quality of the prompts they receive. “The Art and Science of Prompt Engineering” webinar will delve into the mindset, techniques, and principles that guide the creation of effective prompts. This session will explore the blend of creativity and analytical rigor required to craft prompts that yield accurate and useful AI outputs.
Participants will learn the fundamental principles of prompt engineering, including the importance of context, specificity, and clarity. We will discuss examples that highlight successful prompt strategies and common pitfalls to avoid. Additionally, the webinar will cover advanced techniques such as iterative prompt refinement and using prompts to steer AI behavior towards desired outcomes.
Join us to gain a comprehensive understanding of how to master the art and science of prompt engineering, ensuring that your generative AI applications are both effective and aligned with your business objectives. This session promises valuable insights for anyone looking to optimize their interaction with generative AI technologies.
by Jorge Amorim, from DSPA (ATTRACT team)
Many organizations are not fully prepared to maximize the potential of Generative AI. They must align theirstrategies, operations, data, and AI systems effectively. In the fast paced world of generative AI, the “Roadblocks in Our Generative AI MAP” webinar addresses the critical challenges hindering the technology’s full potential.
This session will provide insights into these issues and offer strategies to overcome these barriers, ensuring businesses can effectively harness generative AI for innovation and
competitiveness. Join us to explore practical solutions for navigating these
challenges and unlocking the full benefits of generative AI in your organization.
by Jorge Amorim, from DSPA (ATTRACT team)
The importance of paying attention to the quality of data
Generative AI models rely heavily on well-prepared data to function effectively. However, thepresence of noise, errors, and biases in the input data can significantly impact the training process and produce subpar outputs. This webinar aims to explore the methods of data preparation and cleaning specifically tailored for Generative AI. By focusing on practicaltechniques and best practices, attendees will gain valuable insights into optimizing data quality to enhance the performance and reliability of their generative models.
by Sphesihle Ndlela, from EDIH Südwestfalen
In the rapidly evolving landscape of AI, the “Generative AI from a Human-Centered Perspective” webinar aims to delve deep into the symbiotic relationship between human intuition and AI capabilities. This session is designed to explore the critical role of the human factor in guiding and refining the outputs of generative AI technologies. One part of the discussion will be the concept of “Human in the Loop” – a framework that emphasizes theimportance of human oversight in AI systems.
We will examine how integrating human judgment can not only enhance the reliability of AI-generated content but also ensure that these outputs align with ethical standards andsocietal values. Second, this webinar willprovide insights into how participants can critically assess the quality and accuracy of AI outputs.
by Louisa Sauter and Robert Fischbach, from EDIH Südwestfalen
A collaborative initiative by
