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Monday Morning Data Chat
Continuously Improving ML-Powered Products w/ Josh Tobin (Gantry) - Special Episode
Jul 1, 2022
Josh Tobin from Gantry shares insights on improving ML-powered products, discussing vendor relationships, applying software engineering principles to ML, data observability challenges, and reflections on early business development. The conversation also touches on navigating attention and distractions in management.
01:01:22
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Quick takeaways
- Importance of user interaction in model performance for ML-powered products.
- Need for rigorous unit testing and monitoring of machine learning models.
Deep dives
Evolution from Research to Entrepreneurship
Josh Tobin discusses his transition from ML research at OpenAI to founding Gantry, a machine learning tooling company. He highlights his work on teaching the math and algorithms behind training ML models and the challenges faced while working on machine learning advancements in robotics, emphasizing the need for practical applications in real-world scenarios.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode