web02.fireside.fm Sun, 19 Apr 2026 14:27:01 -0500 Fireside (https://fireside.fm) Pipeline Conversations - Episodes Tagged with “Evaluation” https://podcast.zenml.io/tags/evaluation Sun, 15 Dec 2024 21:00:00 +0100 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 The Evaluation Playbook: Making LLMs Production-Ready 🧪📈 https://podcast.zenml.io/llmops-db-evaluation 8254e8a5-306a-46c6-9695-ecd0daea4150 Sun, 15 Dec 2024 21:00:00 +0100 ZenML GmbH full 3 ZenML GmbH A comprehensive exploration of real-world lessons in LLM evaluation and quality assurance, examining how industry leaders tackle the challenges of assessing language models in production. 32:43 no A comprehensive exploration of real-world lessons in LLM evaluation and quality assurance, examining how industry leaders tackle the challenges of assessing language models in production. Through diverse case studies, we cover the transition from traditional ML evaluation, establishing clear metrics, combining automated and human evaluation strategies, and implementing continuous improvement cycles to ensure reliable LLM applications at scale. Please read the full blog post here (https://www.zenml.io/blog/the-evaluation-playbook-making-llms-production-ready) and the associated LLMOps database entries here (https://zenml.io/llmops-database). llmops, llms, ai, mlops, genai, evaluation A comprehensive exploration of real-world lessons in LLM evaluation and quality assurance, examining how industry leaders tackle the challenges of assessing language models in production.

Through diverse case studies, we cover the transition from traditional ML evaluation, establishing clear metrics, combining automated and human evaluation strategies, and implementing continuous improvement cycles to ensure reliable LLM applications at scale.

Please read the full blog post here and the associated LLMOps database entries here.

]]> A comprehensive exploration of real-world lessons in LLM evaluation and quality assurance, examining how industry leaders tackle the challenges of assessing language models in production.

Through diverse case studies, we cover the transition from traditional ML evaluation, establishing clear metrics, combining automated and human evaluation strategies, and implementing continuous improvement cycles to ensure reliable LLM applications at scale.

Please read the full blog post here and the associated LLMOps database entries here.

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