Data Brew by Databricks

Databricks
Data Brew by Databricks

Welcome to Data Brew by Databricks with Denny and Brooke! In this series, we explore various topics in the data and AI community and interview subject matter experts in data engineering/data science. So join us with your morning brew in hand and get ready to dive deep into data + AI! For this first season, we will be focusing on lakehouses – combining the key features of data warehouses, such as ACID transactions, with the scalability of data lakes, directly against low-cost object stores.

  1. Mixed Attention & LLM Context | Data Brew | Episode 35

    NOV 21

    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 its impact on improving efficiency and reducing operational costs.Highlights include:- How RAG enhances LLM accuracy by incorporating relevant external documents.- The evolution of attention mechanisms, including mixed attention strategies.- Practical applications of Mamba architectures and their...

    39 min
  2. Kumo AI & Relational Deep Learning | Data Brew | Episode 34

    OCT 14

    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. Highlights include:- How RDL enhances predictive modeling.- Applications in fraud detection and recommendation systems.- The use of graph neural networks to simplify complex data structures.

    43 min

  3. 07/21/2023

    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.In this session, we interviewed Chengyin Eng (Senior Data Scientist, Databricks), Sam Raymond (Senior Data Scientist, Databricks), and Joseph Bradley (Lead Production Specialist - ML, Databricks) on the best practices around LLM use cases, prompt engineering, and how to adapt MLOps for LLMs (i.e.,...

    39 min

  4. 06/29/2023

    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 session, we interviewed Omar Khattab - Computer Science Ph.D. Student at Stanford, creator of DSP (Demonstrate–Search–Predict Framework), to discuss DSP, common applications, and the future of NLP.

    33 min

  5. 06/08/2023

    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 session, we interviewed Yaron Singer, CEO of Robust Intelligence, Professor of Computer Science at Harvard University, and guest of Data Brew Season 3 (our first repeat guest!). In this session, we discuss generative AI, the trends toward embracing LLMs, and how the surface area for vulnera...

    35 min

  6. 06/01/2023

    John Snow Labs & SparkNLP | Data Brew | Episode 30

    We are back and we will dive into 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.In this session, we interviewed David Talby who is the CTO at John Snow Labs; they help healthcare & life science companies put AI to good use. David's interests include natural language processing, applied artificial intelligence in healthcare, and responsible AI.

    43 min

  7. 06/09/2022

    Data Brew Season 4 Episode 6: Professional Athletes

    For our fourth season, we focus on connected health and how data & AI augment and improve our daily health. While we’re at it, we’ll be enjoying our morning brew.Shayna Powless and Eli Ankou, professional cyclist for L39ion of Los Angeles and defensive tackle for the Buffalo Bills, respectively, provide valuable insight on how professional athletes leverage data to improve their performance and how they combine their passion for sports with the Dreamcatcher Foundation.See more at databric...

    36 min

  8. 05/05/2022

    Data Brew Season 4 Episode 5: Public Health: Education, Access, and Policy

    For our fourth season, we focus on connected health and how data & AI augment and improve our daily health. While we’re at it, we’ll be enjoying our morning brew.Matt Willis, Marin County Public Health Officer, shares the three pillars of public health: education, access, and policy, and the critical role data plays in addressing the COVID-19 pandemic & opioid epidemic. See more at databricks.com/data-brew

    35 min
See All (33)

Ratings & Reviews

5
out of 5
16 Ratings

About

Welcome to Data Brew by Databricks with Denny and Brooke! In this series, we explore various topics in the data and AI community and interview subject matter experts in data engineering/data science. So join us with your morning brew in hand and get ready to dive deep into data + AI! For this first season, we will be focusing on lakehouses – combining the key features of data warehouses, such as ACID transactions, with the scalability of data lakes, directly against low-cost object stores.

Information

  • Creator
    Databricks
  • Years Active
    2020 - 2024
  • Episodes
    33
  • Rating
    Clean
  • Copyright
    © 2024 Data Brew by Databricks
  • Show Website
    Data Brew by Databricks

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