Pipeline Conversation

Pipeline Conversations features interviews with platform engineers and machine learning practitioners about MLOps and LLMOps.

podcast.zenml.io
Pipeline Conversation homepage screenshot

About Pipeline Conversation

Pipeline Conversations publishes interviews with platform engineers, ML practitioners, and technical leaders building production AI systems. From ZenML, it covers MLOps and LLMOps topics such as orchestrating workflows on Kubernetes, fine-tuning and evaluating models at scale, and shipping AI systems.

Episodes are listed with season, publication date, runtime, and topic tags. Covered subjects include LLM security, performance and cost optimization, evaluation, prompt engineering, agents, and retrieval-based search and recommendation.

Key features

  • Interviews with platform engineers, ML practitioners, and technical leaders
  • Coverage of production MLOps and LLMOps challenges
  • Episodes list season, date, and runtime
  • Topic tags such as security, evaluation, and RAG
  • Discussions on Kubernetes workflow orchestration and model fine-tuning
  • Archive includes Season 2 and Season 3 episodes
Best for: Platform engineers, ML practitioners, and technical leaders interested in production MLOps and LLMOps.
Good for
  • Focuses on production AI systems and implementation challenges
  • Episodes include date, season, runtime, and topic tags
  • Covers specific subjects such as security, evaluation, and cost optimization

Pipeline Conversation at a glance

Type
Website
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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