From Traction to Production: Maturing your LLMOps step by step
Maxim Salnikov - 1 month ago
Your concept of a product that leverages the power of Large Language Models is gaining traction, and your initial API calls to the selected LLM vendor show promising results. What's next? In this session, we cover all the important milestones of your LLM-powered product from both application and operations perspectives by introducing the LLMOps maturity model, as well as useful tools and services to support your journey. This will help you determine the best next steps for your Generative AI-based product to achieve operational excellence in today's dynamic and ever-evolving landscape of LLM technology.
Jobs with related skills
(Senior) Cloud Data Engineer Supply Solutions (m/w/d)
msg
·
1 month ago
Frankfurt am Main, Germany
+8
Hybrid
AI Architect & Consultant (m/f/d)
Riverty Group GmbH
·
2 months ago
Berlin, Germany
+4
Hybrid
Machine Learning Engineer - EU/UK based ONLY (Remote)
Beams Safety AI
·
1 month ago
Berlin, Germany
+2
Hybrid
Newest jobs
Product Owner / Product Manager (m/f/x)
Innerspace - The Simulator Company
·
today
Innsbruck, Austria
Related Videos