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LLM Evaluation: Opik with Gideon Mendels

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Manage episode 461237787 series 2626943
Content provided by Eric Anderson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Eric Anderson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Gideon Mendels (Github: @gidim) is the co-founder and CEO of Comet, the end-to-end model evaluation platform for AI developers. Among the tools in the Comet ecosystem is Opik, an open-source solution for evaluating, testing and monitoring LLM applications. Opik allows users to log traces and spans, define and compute evaluation metrics, score LLM outputs, compare performance across app versions, and more. As a true open-source project, its full featureset is available for use by anyone, completely free.

Contributor is looking for a community manager! If you want to know more, shoot us an email at [email protected].

Subscribe to Contributor on Substack for email notifications!

In this episode we discuss:

  • How Opik’s popularity blew up beyond the Comet team’s expectations

  • Why CI/CD is especially important in an end-to-end platform

  • Gideon’s “severe allergy” to “fake open-source” offerings

  • Why the number of dedicated machine learning engineers is actually going down

  • Eric’s thoughts on what it means for venture capital to invest in the LLM space

Links:

  continue reading

88 episodes

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LLM Evaluation: Opik with Gideon Mendels

Contributor

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Manage episode 461237787 series 2626943
Content provided by Eric Anderson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Eric Anderson or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Gideon Mendels (Github: @gidim) is the co-founder and CEO of Comet, the end-to-end model evaluation platform for AI developers. Among the tools in the Comet ecosystem is Opik, an open-source solution for evaluating, testing and monitoring LLM applications. Opik allows users to log traces and spans, define and compute evaluation metrics, score LLM outputs, compare performance across app versions, and more. As a true open-source project, its full featureset is available for use by anyone, completely free.

Contributor is looking for a community manager! If you want to know more, shoot us an email at [email protected].

Subscribe to Contributor on Substack for email notifications!

In this episode we discuss:

  • How Opik’s popularity blew up beyond the Comet team’s expectations

  • Why CI/CD is especially important in an end-to-end platform

  • Gideon’s “severe allergy” to “fake open-source” offerings

  • Why the number of dedicated machine learning engineers is actually going down

  • Eric’s thoughts on what it means for venture capital to invest in the LLM space

Links:

  continue reading

88 episodes

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