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Case studies from the GenAI frontier, scaling ML teams, from biologist to machine learning consultant- Erik Gafni - The Data Scientist Show #082

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Manage episode 402810658 series 3012777
Content provided by Daliana Liu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daliana Liu 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://player.fm/legal.

Erik Gafni builds AI systems and teams. He founded Eventum AI (https://bit.ly/eventum-ai), an ML consulting company working with high-growth startups. We talked about GenAI projects he worked on, how he built production ML systems, how to scale ML teams, and his journey from biologist to ML researcher.

(00:00:00) Introduction

(00:01:59) Is GenAI overhyped?

(00:04:28) Ascent translation with AI

(00:11:58) Social media app with AI

(00:14:00) Stable diffusion model evaluation

(00:15:57) "Consult-to-hire" model

(00:17:35) AI in biotech

(00:22:46) Self-supervised learning

(00:31:22) How he hires people

(00:33:19) Research vs production

(00:35:57) Is AGI coming?

(00:37:30) New trends in GenAI

(00:41:45) Data quality in GenAI

(00:42:58) Philosophy in LLMs

(00:49:48) OpenAI vs Open Source

(00:53:58) Mistakes he made

(00:57:41) How did he get into ML

  continue reading

90 episodes

Artwork
iconShare
 
Manage episode 402810658 series 3012777
Content provided by Daliana Liu. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daliana Liu 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://player.fm/legal.

Erik Gafni builds AI systems and teams. He founded Eventum AI (https://bit.ly/eventum-ai), an ML consulting company working with high-growth startups. We talked about GenAI projects he worked on, how he built production ML systems, how to scale ML teams, and his journey from biologist to ML researcher.

(00:00:00) Introduction

(00:01:59) Is GenAI overhyped?

(00:04:28) Ascent translation with AI

(00:11:58) Social media app with AI

(00:14:00) Stable diffusion model evaluation

(00:15:57) "Consult-to-hire" model

(00:17:35) AI in biotech

(00:22:46) Self-supervised learning

(00:31:22) How he hires people

(00:33:19) Research vs production

(00:35:57) Is AGI coming?

(00:37:30) New trends in GenAI

(00:41:45) Data quality in GenAI

(00:42:58) Philosophy in LLMs

(00:49:48) OpenAI vs Open Source

(00:53:58) Mistakes he made

(00:57:41) How did he get into ML

  continue reading

90 episodes

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