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Secret to Production AI: Tools & Infrastructure | Data Brew | Episode 37

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Manage episode 462513591 series 2814833
Content provided by Databricks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Databricks 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://ppacc.player.fm/legal.

In this episode, Julia Neagu, CEO & co-founder of Quotient AI, explores the challenges of deploying Generative AI and LLMs, focusing on model evaluation, human-in-the-loop systems, and iterative development.
Highlights include:
- Merging reinforcement learning and unsupervised learning for real-time AI optimization.
- Reducing bias in machine learning with fairness and ethical considerations.
- Lessons from large-scale AI deployments on scalability and feedback loops.
- Automating workflows with AI through successful business examples.
- Best practices for managing AI pipelines, from data collection to validation.

  continue reading

43 episodes

Artwork
iconShare
 
Manage episode 462513591 series 2814833
Content provided by Databricks. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Databricks 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://ppacc.player.fm/legal.

In this episode, Julia Neagu, CEO & co-founder of Quotient AI, explores the challenges of deploying Generative AI and LLMs, focusing on model evaluation, human-in-the-loop systems, and iterative development.
Highlights include:
- Merging reinforcement learning and unsupervised learning for real-time AI optimization.
- Reducing bias in machine learning with fairness and ethical considerations.
- Lessons from large-scale AI deployments on scalability and feedback loops.
- Automating workflows with AI through successful business examples.
- Best practices for managing AI pipelines, from data collection to validation.

  continue reading

43 episodes

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