Lessons Learned from Large Language Models Implementation and Deployment
Data Science Conference via YouTube
Overview
Explore a 32-minute conference talk from DSC Adria 2024 in Zagreb where Pawel Ekk-Cierniakowski shares valuable insights from real-world projects implementing large language models. Gain practical knowledge about model adaptation strategies, effective performance monitoring techniques, essential security considerations, and the impact of contextual dependencies. Learn about both the practical applications and inherent limitations of large language models through concrete examples and lessons drawn from actual project implementations. Discover key considerations for successful LLM deployment and understand how to navigate common challenges in enterprise applications.
Syllabus
LLMs - lessons learned | Pawel Ekk-Cierniakowski | DSC ADRIA 24
Taught by
Data Science Conference