• ML Platform Podcast

  • Auteur(s): neptune.ai
  • Podcast

ML Platform Podcast

Auteur(s): neptune.ai
  • Résumé

  • Get behind-the-scenes insights into the world of internal ML platforms and MLOps stack components with Piotr Niedźwiedź and Aurimas Griciūnas in their show, where together with ML platform professionals, they discuss design choices, best practices, and real-world solutions to MLOps challenges. Brought to you by neptune.ai.
    neptune.ai
    Voir plus Voir moins
Épisodes
  • Navigating Vector Databases: Indexing Strategies, GPU, and More
    Jun 21 2024
    On this episode of the ML Platform Podcast, Frank Liu discusses the basics, problems and challenges of vector databases, including indexing strategies, segmentation, vector lengths used in production, GPU-accelerated vector databases, potential use cases, and more.
    Voir plus Voir moins
    1 h et 11 min
  • Learnings From Building the ML Platform at DoorDash With Hien Luu
    Jun 7 2024
    On this episode of the ML Platform Podcast, Hien Luu talks about building the ML Platform at DoorDash, including big data models, building platforms at the enterprise level, centralized vs. decentralized ML platform teams, LLM strategy, MLOps in the shadow of LLMs, and more.
    Voir plus Voir moins
    1 h et 6 min
  • Breaking Down Workflow Orchestration and Pipeline Authoring in MLOps
    May 24 2024
    On this episode of the ML Platform Podcast, Adam Probs and Hamza Tahir discuss workflow orchestration and pipeline authoring in MLOps, focusing on ZenML's capabilities. They cover the main jobs-to-be-done, challenges behind testing integrations, ZenML’s role in end-to-end ML platforms, ZenML Cloud, the future of MLOps with LLMs, and more.
    Voir plus Voir moins
    52 min

Ce que les auditeurs disent de ML Platform Podcast

Moyenne des évaluations de clients

Évaluations – Cliquez sur les onglets pour changer la source des évaluations.