The history of computing has been a story of moving up levels of abstraction: from hard-coding algorithms and directly manipulating memory addresses with assembly languages to using more natural language constructs in high-level general purpose languages to abstracting the hardware of the computer in cloud compute. Now serverless functions take that abstract ... Show More
Apr 28
Your LLM issues are really data issues
Ryan welcomes Harsha Chintalapani, co-founder and CTO at Collate and co-creator of Open Metadata, to the show to discuss why AI and LLMs struggle with real-time, structured production data. They explore how schema changes, inconsistent definitions (like “customer”), and weak gove ... Show More
31m 34s
Jun 2021
Accelerating ML Training And Delivery With In-Database Machine Learning
<div class="wp-block-jetpack-markdown"><h2>Summary</h2>
<p>When you build a machine learning model, the first step is always to load your data. Typically this means downloading files from object storage, or querying a database. To speed up the process, why not build the model in ... Show More
1h 5m
Jul 2021
Exploring The Design And Benefits Of The Modern Data Stack
<div class="wp-block-jetpack-markdown"><h2>Summary</h2>
<p>We have been building platforms and workflows to store, process, and analyze data since the earliest days of computing. Over that time there have been countless architectures, patterns, and "best practices" to ... Show More
49m 2s