Get more from your AI model: How to generate datasets for training and fine-tuning
Guest speaker
Frederic Gmeiner
PhD Researcher in Human-Computer Interaction, Carnegie Mellon University
Host
Jenny Huzell
Partnerships at Prolific
About the webinar
Discover how Frederic Gmeiner and his team used Prolific to create a rich dataset for training and refining text-to-image AI generation models.
We’ll show you how they identified a gap in the market for this dataset, the process they used to build it, and the real-world value it has generated.
You’ll discover:
- How to use Prolific to design and gather data for AI training.
- Techniques to ensure your dataset aligns with the specific needs of your AI models.
- A successful case study that showcases the above.
About the speaker
Frederic Gmeiner is a third-year PhD student in Human-Computer Interaction at Carnegie Mellon University. His research explores how humans and AI interact, particularly in co-creative processes and novel interface design.
Frederic's work is crucial in developing interfaces that enhance human-AI collaboration. This research is key to pushing the frontier of AI applications in professional settings.
