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S3 Ep57: Revolutionising Machine Learning for Research & Development with Brad Magnetta, Co-Founder of modlee

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Content provided by Literal Humans. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Literal Humans 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.
In this week’s episode of Tech Can’t Save Us, hosts Paul David and Maya Dharampal-Hornby are joined by Brad Magnetta, co-founder of modlee.
With a growing demand for in-house AI and ML solutions, modlee automates, simplifies and pools insights about machine learning development.
Tune into this episode now to hear Brad discuss the distinction between knowledge loss and preservation, modlee’s plans to work with the developers of tomorrow, and why he’s excited about businesses building generative AI solutions.
Find out more about modlee here: https://www.modlee.ai/
  continue reading

135 episodes

Artwork
iconShare
 
Manage episode 434399586 series 3301410
Content provided by Literal Humans. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Literal Humans 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.
In this week’s episode of Tech Can’t Save Us, hosts Paul David and Maya Dharampal-Hornby are joined by Brad Magnetta, co-founder of modlee.
With a growing demand for in-house AI and ML solutions, modlee automates, simplifies and pools insights about machine learning development.
Tune into this episode now to hear Brad discuss the distinction between knowledge loss and preservation, modlee’s plans to work with the developers of tomorrow, and why he’s excited about businesses building generative AI solutions.
Find out more about modlee here: https://www.modlee.ai/
  continue reading

135 episodes

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