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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

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