Pipeline Conversations
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About
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.
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Recent episodes
- Production LLM Security: Real-world Strategies from Industry Leaders 🔐
- Optimizing LLM Performance and Cost for LLMs in Production
- The Evaluation Playbook: Making LLMs Production-Ready 🧪📈
- Prompt Engineering & Management in Production: Practical Lessons from the LLMOps Database
- LLM Agents in Production: Architectures, Challenges, and Best Practices
- Building Advanced Search, Retrieval, and Recommendation Systems with LLMs
- Building LLM Applications that Know What They're Talking About 🔓🧠
- Demystifying LLMOps: A Practical Database of Real-World Generative AI Implementations
- ML at the British Library with Daniel van Strien
- Questioning MLOps with Lak Lakshmanan