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9min chapter
Monthly Roundup: New LLMs, GTC 2024, Constraint-Driven Innovation, Model Safety, and GraphRAG
The Data Exchange with Ben Lorica
Exploring DevOps Costs, Data Tools for Generative AI, and AI Safety Challenges
This chapter delves into the costs and benefits of DevOps in enterprises versus tech giants, emphasizing its premium nature in smaller teams. It then shifts to discussing data tools for generative AI, stressing the significance of data management, versioning, and distributed computing frameworks like Ray or Spark. The chapter further explores the importance of data engineering in ensuring AI safety, advocating for early warning systems and infrastructure for model safety in AI systems.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode