Year in Review: LLMs & LLMOps, State of MLOps, and What's Next in 2024
ML Platform Podcast
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Challenges and Limits in High Throughput Recommender Systems
This chapter explores the challenges faced by high throughput recommender systems and the limitations of LLM in solving these problems. The focus is on increasing speed and ensuring security in LLMs through the creation of a new area of MLOps called guard rails. The chapter also discusses connectivity solutions, the use of open source models for confidential data, and the need for new ML innovations.
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