Kubernetes and Data Annotation
Abhijit discusses the evolution of their Kubernetes stack, highlighting the shift towards leveraging AWS's Elastic Kubernetes Service to simplify infrastructure for users. He contrasts traditional machine learning data annotation with the complexities of working with large language models, emphasizing the need for refined capabilities and automated systems for effective data labeling and evaluation.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Evolving MLOps Platforms for Generative AI and Agents with Abhijit Bose - 714
Related Questions
What's an example of something that was hard to do before Kubernetes that is now easier to do with Kubernetes, in the context of the episode MLOps for GenAI Applications // Harcharan Kabbay // #256 and the clip Local LLMs Debate?
What's an example of something that was hard to do before Kubernetes that is now easier to do with Kubernetes, in the context of the episode MLOps for GenAI Applications // Harcharan Kabbay // #256 and the clip Local LLMs Debate?