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

Data Brew by Databricks

Contenuto fornito da Databricks. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Databricks o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

11M ago 41:24

MP3•Pagina principale dell'episodio

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on October 30, 2025 14:27 (1M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

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/

44 episodi

#Databricks #Data Analytics #Apache Spark #Delta Lake #Machine Learning #Data Engineering #Artificial Intelligence #Tech #Data Science #Science #Lifestyle #Podcasting Education