Mixture Of Memory Experts (MoME) | Data Brew | Episode 36 Data Brew By Databricks podcast

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

3M ago 41:24

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MP3•Laman utama episod

Kandungan disediakan oleh Databricks. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Databricks atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

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/

… continue reading

40 episod

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

Artwork

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

Data Brew by Databricks

71 subscribers

published 3M ago

Kongsi

MP3•Laman utama episod

Kandungan disediakan oleh Databricks. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Databricks atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

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/

… continue reading

40 episod

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

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