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Flyte with Ketan Umare

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Manage episode 326758281 series 2626943
Indhold leveret af Eric Anderson. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Eric Anderson eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Eric Anderson (@ericmander) and Ketan Umare (@ketanumare) discuss Flyte, the open-source workflow automation platform for large-scale machine learning and data use cases. Ketan is a former engineer at Lyft, where he created Flyte to help models in Pricing, Locations, ETA, and more. Today, the project allows machine learning developers everywhere to bring their ideas from conception to production.

In this episode we discuss:

  • How Flyte combines compute with parts of a workflow engine in a way that is best for the user
  • The importance of reliable fares and ETA predictions at a ride-sharing app
  • A progenitor to Flyte called “Better Airflow”
  • Ketan’s innovative approach to bringing typing to machine learning workloads
  • Why Flyte landed at the Linux Foundation

Links:

Other episodes:

  continue reading

85 episoder

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Flyte with Ketan Umare

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18 subscribers

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Manage episode 326758281 series 2626943
Indhold leveret af Eric Anderson. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Eric Anderson eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Eric Anderson (@ericmander) and Ketan Umare (@ketanumare) discuss Flyte, the open-source workflow automation platform for large-scale machine learning and data use cases. Ketan is a former engineer at Lyft, where he created Flyte to help models in Pricing, Locations, ETA, and more. Today, the project allows machine learning developers everywhere to bring their ideas from conception to production.

In this episode we discuss:

  • How Flyte combines compute with parts of a workflow engine in a way that is best for the user
  • The importance of reliable fares and ETA predictions at a ride-sharing app
  • A progenitor to Flyte called “Better Airflow”
  • Ketan’s innovative approach to bringing typing to machine learning workloads
  • Why Flyte landed at the Linux Foundation

Links:

Other episodes:

  continue reading

85 episoder

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