2024-06-14 –, E105 (capacity 70)
Now, 1-2 years since LLMs barged into not just our work lives but also our personal ones, you might be feeling the heat to keep pace with the onslaught of new models hitting the scene every week and the pressure to AI-ify everything in sight. But fear not! In this session, we're all about distilling the timeless concepts behind AI models, pointing out where folks tend to trip up, and hopefully, giving you the mojo to dive in and experiment without drowning in the AI ocean. And hey, we're throwing in some 90s grunge music vibes because let's face it, AI is the ultimate remix of humanity's past data.
Katya is a software engineer at Red Hat, who shifted her focus to AI/ML 5 years ago and now works as part of OpenShift Observability team. Passionate about data and problem-solving, she employs a variety of tools from analytics and machine learning to currently trendiest LLMs. When not immersed in the world of software, Katya is a robotics enthusiast. Beyond teaching machines how to think, she is equally passionate about making machines move, exploring the synergy of AI and robotics.