Description

Key Highlights:

• Production-Scale LLMs: Deploying and scaling recommender systems powered by large language models.
• AI Infrastructure Challenges: Building reliable, high-performance search and ML platforms at global scale.
• MLOps & Model Optimization: Lessons learned from optimizing and monitoring complex AI pipelines.
• Future of AI at Scale: Trends in GenAI, multimodal AI, and recommender systems that will shape the industry.

🎧 Tune in to Episode 63 to hear Rahul Raja’s insights on creating scalable, reliable, and cutting-edge AI infrastructure for production-grade systems.

Be sure to mark your calendars for the annual ALD NYC on May 13, where we will focus on THE FUTURE OF APPLIED AI IN Finance and Banking. Join us to hear from experts on how AI is shaping the future of finance, banking and insurance: https://ailovesdata.com/newyork/ 

Writer and Host: Anna Anisin

Produced, edited, and mixed by the Formulatedby Team