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12min chapter
Episode 27: How to Build Terrible AI Systems
Vanishing Gradients
Building Strong AI Systems Through Transparency and Incremental Improvements
The chapter delves into the importance of transparency, documentation, and explanation in decision-making processes to build trustworthy AI systems, highlighting advice for beginners in building applications. It emphasizes starting simply, understanding design consequences, and choosing interesting datasets to manage data complexities. Additionally, it explores incrementally improving applications for robustness, the challenges of deploying in production, and the significance of observability and evaluations.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode