web02.fireside.fm Thu, 23 Apr 2026 07:02:26 -0500 Fireside (https://fireside.fm) Pipeline Conversations - Episodes Tagged with “Testing” https://podcast.zenml.io/tags/testing Thu, 04 Aug 2022 10:00:00 +0200 Pipeline Conversations brings you interviews with platform engineers, ML practitioners, and technical leaders building production AI systems. We dig into the real challenges of MLOps and LLMOps: orchestrating complex workflows on Kubernetes, fine-tuning and evaluating models at scale, and shipping AI that actually works. From ZenML. en-us episodic MLOps and LLMOps, from the trenches ZenML GmbH Pipeline Conversations brings you interviews with platform engineers, ML practitioners, and technical leaders building production AI systems. We dig into the real challenges of MLOps and LLMOps: orchestrating complex workflows on Kubernetes, fine-tuning and evaluating models at scale, and shipping AI that actually works. From ZenML. no machine-learning, machinelearning, mlops, deeplearning, ai, artificialintelligence, artificial-intelligence, technology, tech, mlops, llmops ZenML GmbH podcast@zenml.io Safe and Testable Computer Vision with Lakera https://podcast.zenml.io/safe-testable-computer-vision-lakera 6300d5ea-04f5-45a5-8c81-ca184b3d5bd4 Thu, 04 Aug 2022 10:00:00 +0200 ZenML GmbH full 2 ZenML GmbH This week I spoke with Mateo Rojas-Carulla, the CTO and a co-founder of Lakera and Matthias Kraft, also a co-founder and the CPO there. Lakera is an AI safety company that does a lot of work in the computer vision domain, building a platform and tools for users to gain more confidence in the output and functionality of their models. 57:32 no This week I spoke with Mateo Rojas-Carulla, the CTO and a co-founder of Lakera (https://www.lakera.ai/) and Matthias Kraft, also a co-founder and the CPO there. Lakera (https://www.lakera.ai/) is an AI safety company that does a lot of work in the computer vision domain, building a platform and tools for users to gain more confidence in the output and functionality of their models. We discuss how they think about the testing of machine learning models, and about how having this safety element upfront has implications for how you go about the testing and ensuring robustness. We specifically dive into how to go about testing computer vision models and the various pitfalls that are to be found in that domain. Special Guests: Mateo Rojas-Carulla and Matthias Kraft. mlops, monitoring, data, machine-learning, computer-vision, testing, safety This week I spoke with Mateo Rojas-Carulla, the CTO and a co-founder of Lakera and Matthias Kraft, also a co-founder and the CPO there. Lakera is an AI safety company that does a lot of work in the computer vision domain, building a platform and tools for users to gain more confidence in the output and functionality of their models.

We discuss how they think about the testing of machine learning models, and about how having this safety element upfront has implications for how you go about the testing and ensuring robustness. We specifically dive into how to go about testing computer vision models and the various pitfalls that are to be found in that domain.

Special Guests: Mateo Rojas-Carulla and Matthias Kraft.

]]> This week I spoke with Mateo Rojas-Carulla, the CTO and a co-founder of Lakera and Matthias Kraft, also a co-founder and the CPO there. Lakera is an AI safety company that does a lot of work in the computer vision domain, building a platform and tools for users to gain more confidence in the output and functionality of their models.

We discuss how they think about the testing of machine learning models, and about how having this safety element upfront has implications for how you go about the testing and ensuring robustness. We specifically dive into how to go about testing computer vision models and the various pitfalls that are to be found in that domain.

Special Guests: Mateo Rojas-Carulla and Matthias Kraft.

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