Model Optimization Challenges
There are two approaches to solving problems: within the model and outside of it. The conversation emphasizes the need for better heuristics and tooling to manage the complexities of machine learning systems, particularly in enterprise environments. While striving for deterministic outcomes is crucial, embracing the inherent probabilistic nature of these systems can lead to innovative solutions that hand coding cannot achieve.In this clip
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