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Data Brew by Databricks · Jan 10, 2025 · 41 min

Mixture of Memory Experts (MoME) | Data Brew | Episode 36

In this episode, Sharon Zhou, Co-Founder and CEO of Lamini AI, shares her expertise in the world of AI, focusing on fine-tuning models for improved performance and reliability. Highlights include: - The integration of determinism and probabilism for handling unstructured data and user queries effectively. - Proprietary techniques like memory tuning and robust evaluation frameworks to mitigate model inaccuracies and hallucinations. - Lessons learned from deploying AI applications, including insights from GitHub Copilot’s rollout. Connect with Sharon Zhou and Lamini: https://www.linkedin.com/in/zhousharon/ https://x.com/realsharonzhou https://www.lamini.ai/

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In this episode, Sharon Zhou, Co-Founder and CEO of Lamini AI, shares her expertise in the world of AI, focusing on fine-tuning models for improved performance and reliability.

Highlights include:
- The integration of determinism and probabilism for handling unstructured data and user queries effectively.
- Proprietary techniques like memory tuning and robust evaluation frameworks to mitigate model inaccuracies and hallucinations.
- Lessons learned from deploying AI applications, including insights from GitHub Copilot’s rollout.

Connect with Sharon Zhou and Lamini:
https://www.linkedin.com/in/zhousharon/
https://x.com/realsharonzhou
https://www.lamini.ai/

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