Data Brew by Databricks
Ein Podcast von Databricks
Kategorien:
34 Folgen
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Secret to Production AI: Tools & Infrastructure | Data Brew | Episode 37
Vom: 22.1.2025 -
Mixture of Memory Experts (MoME) | Data Brew | Episode 36
Vom: 10.1.2025 -
Mixed Attention & LLM Context | Data Brew | Episode 35
Vom: 21.11.2024 -
Kumo AI & Relational Deep Learning | Data Brew | Episode 34
Vom: 14.10.2024 -
LLMs: Internals, Hallucinations, and Applications | Data Brew | Episode 33
Vom: 21.7.2023 -
Demonstrate–Search–Predict Framework | Data Brew | Episode 32
Vom: 29.6.2023 -
Generative AI Risks | Data Brew | Episode 31
Vom: 8.6.2023 -
John Snow Labs & SparkNLP | Data Brew | Episode 30
Vom: 1.6.2023 -
Data Brew Season 4 Episode 6: Professional Athletes
Vom: 9.6.2022 -
Data Brew Season 4 Episode 5: Public Health: Education, Access, and Policy
Vom: 5.5.2022 -
Data Brew Season 4 Episode 4: 1283 Days of Running (and Counting)
Vom: 14.4.2022 -
Data Brew Season 4 Episode 3: Last Man Standing
Vom: 31.3.2022 -
Data Brew Season 4 Episode 2: NBA Analytics
Vom: 10.3.2022 -
Data Brew Season 4 Episode 1: Reducing Injury & Increasing Retention of Industrial Athletes
Vom: 24.2.2022 -
Data Brew Season 3 Episode 6: Open Source
Vom: 28.10.2021 -
Data Brew Season 3 Episode 5: Sustainability & Sake
Vom: 14.10.2021 -
Data Brew Season 3 Episode 4: Executive Education
Vom: 7.10.2021 -
Data Brew Season 3 Episode 3: 3 T’s to Securing AI Systems: Tests, tests, and more tests
Vom: 30.9.2021 -
Data Brew Season 3 Episode 1: Disrupt: Challenge your Business Assumptions
Vom: 16.9.2021 -
Data Brew Season 2 Episode 9: Data Driven Software
Vom: 21.7.2021
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.
