Year in Review: LLMs & LLMOps, State of MLOps, and What's Next in 2024
ML Platform Podcast
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The Convergence of ML Ops and DevOps
This chapter explores the similarities between ML Ops and DevOps, highlighting the trend of engineers from traditional software development entering the ML Ops space. It discusses the challenges of operationalizing large language models and emphasizes the need for collaboration between DevOps and ML Ops teams. The chapter also touches on topics such as testing, deployment strategies, and the similarities between multi-agent systems and service meshes.
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Transcript
