Shreya Shankar, a PhD student at UC Berkeley, discussed her research on data management for AI and ML software development on the Latent Space podcast. Her work bridges the gap between developing ML models and deploying them in production, emphasizing principles like versioning all work and validating data. Shankar also touched upon the evolving LLMOps stack and the importance of grounded research, drawing from her prior experience at Google Brain. AI
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RANK_REASON Podcast interview with a researcher discussing AI/ML development principles and research.
