Prototyping with large language models is easy — bringing them to production is a different beast.

This session takes you through the real-world journey of operationalising LLMs, highlighting common pitfalls teams encounter and how to avoid them. From evaluation and cost control to scaling, monitoring, and compliance, we’ll explore the key challenges and practical strategies for deploying LLMs reliably and responsibly. Whether you're building the stack or setting the roadmap, this talk will help you deploy LLMs with confidence — and no regrets.

Speaker

Michał Mikołajczak - CEO & Founder @ datarabbit.ai – data/AI custom solutions provider.
 

Expert, proficient in both preparation/training of ML and DL models, as well as neighboring areas, including but not limited to models’ deployment, scaling, monitoring, and maintenance in cloud environments, MLOps processes and good practices, ML-based solutions productionization, data engineering and management, analytics and BI systems.

Event details:

Date - 5 August

Time - CDT - 11:00 AM |7:00 PM UA | 6:00 PM PL |10:00 AM MX |10:00 AM CR| 1:00 PM AR 

Duration - 1.5 hours (60 min. speech + 30 min. Q&A)

Language - English
 

All other details will be sent after registration.

Registration is free and mandatory.