Data Brew Season 1 Episode 5: Combining Machine Learning and MLflow with your Lakehouse

Data Brew Season 1 Episode 5: Combining Machine Learning and MLflow with your Lakehouse

Ellissa Verseput, ML Engineer at Quby, joins Denny and Brooke to discuss how Quby leverages ML to extract additional value from their data lake and how they manage this process. See more at databricks.com/data-brew

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The Power of Synthetic Data | Data Brew | Episode 38

The Power of Synthetic Data | Data Brew | Episode 38

In this episode, Yev Meyer, Chief Scientist at Gretel AI, explores how synthetic data transforms AI and ML by improving data access, quality, privacy, and model training. Highlights include: - Levera...

4 Helmi 202542min

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

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

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 devel...

22 Tammi 202537min

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

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: - ...

10 Tammi 202541min

Mixed Attention & LLM Context | Data Brew | Episode 35

Mixed Attention & LLM Context | Data Brew | Episode 35

In this episode, Shashank Rajput, Research Scientist at Mosaic and Databricks, explores innovative approaches in large language models (LLMs), with a focus on Retrieval Augmented Generation (RAG) and ...

21 Marras 202439min

Kumo AI & Relational Deep Learning | Data Brew | Episode 34

Kumo AI & Relational Deep Learning | Data Brew | Episode 34

In this episode, Jure Leskovec, Co-founder of Kumo AI and Professor of Computer Science at Stanford University, discusses Relational Deep Learning (RDL) and its role in automating feature engineering....

14 Loka 202443min

LLMs: Internals, Hallucinations, and Applications | Data Brew | Episode 33

LLMs: Internals, Hallucinations, and Applications | Data Brew | Episode 33

Our fifth season dives into large language models (LLMs), from understanding the internals to the risks of using them and everything in between. While we're at it, we'll be enjoying our morning brew. ...

21 Heinä 202338min

Demonstrate–Search–Predict Framework | Data Brew | Episode 32

Demonstrate–Search–Predict Framework | Data Brew | Episode 32

We will dive into LLMs for our fifth season, from understanding the internals to the risks of using them and everything in between. While we’re at it, we’ll be enjoying our morning brew. In this sess...

29 Kesä 202333min

Generative AI Risks | Data Brew | Episode 31

Generative AI Risks | Data Brew | Episode 31

We will dive into LLMs for our fifth season, from understanding the internals to the risks of using them and everything in between. While we’re at it, we’ll be enjoying our morning brew. In this ses...

8 Kesä 202334min

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