29 Mar 2023

Grounded Research: From Google Brain to MLOps to LLMOps — with Shreya Shankar of UC Berkeley

Latent Space: The AI Engineer Podcast — Practitioners talking LLMs, CodeGen, Agents, Multimodality, AI UX, GPU Infra and all things Software 3.0

This podcast episode covers various topics in machine learning development, including the importance of velocity, validation, and versioning; the challenges of bridging the gap between development and production environments; innovative research initiatives at Berkeley; the significance of dynamic data, pre-commits, and versioning in ML development; the challenges of data validation and versioning in ML; integrating large language models into applications; the intersection of MLOps, grounded theory, and large language models; underappreciated research areas in industry; challenges and opportunities presented by AI advancements; and the impact of AI on the field of design systems.

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