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Suhani Nagpal
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docs:Add future-agi by Future AGI
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1. [How to Trust Your Deep Learning Code](https://krokotsch.eu/cleancode/2020/08/11/Unit-Tests-for-Deep-Learning.html) ([Accompanying code](https://github.com/tilman151/unittest_dl))
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1. [Estimating Performance of Regression Models Without Ground-Truth](https://bit.ly/medium-estimating-performance-regression) (Using [NannyML](https://bit.ly/ml-ops-nannyml))
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1. [How Hyperparameter Tuning in Machine Learning Works (by NimbleBox.ai)](https://nimblebox.ai/blog/hyperparameter-tuning-machine-learning)
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1. [Future AGI](https://github.com/future-agi/future-agi) - Open-source self-hostable end-to-end agent engineering and optimization platform unifying tracing, evals, simulations, datasets, gateway, and guardrails for LLM and AI agent applications.
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