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Listening notes #1: Montana Low, founder of PostgresML, and Swyx on running ML models in the database

I am an avid podcast listerner. I think the biggest amount of information I consume is by listening to stuff. For me, nothing beats the feeling of a long walk in nature while listening to some interesting talks.

I have always tried to find a way to blend the listening hobby with this blog. And inspired by the reading notes of Jim Nielsen decided to create a new type of post entitled Listening Notes. I know .. very creative 💡!

So, I will start this new content category with a great conversation I listened to this Sunday morning between Shawn Wang aka Swyx and Montana Low the founder of PostgresML:

Some of my main takeaways from the conversation:

  • ⏱ 00:40: machine learning is more about data, that is about algorithms.
  • ⏱ 04:40: given they need a super fast way to detect if an order is a fraud or not Instacart uses AI and Machine Learning to detect fraud payments almost real-time.
  • ⏱ 08:10: the core concept of PostgresML is to bring the model to the data, (vs the classic approach that brings the data to the model), thus increasing the response speed.
  • ⏱ 09:35 for deep learning models the maximum memory requirements are 4x to 14x times the number of parameters. You can easily end up with 2.5 terabytes of data.
  • ⏱ 50:45 structuring ML problems is really hard. Taking a business problem (like is this payment a fraud) and turning that into an ML problem that can be solved with an ML model is a skill set that not many people have
  • a great conversation about how to do a practical DevRel setup for a startup. Regarding this subject also this article is quite nice: Measuring Developer Relations

Keep learning and movin' on!

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10 Javascript AI projects with Langchain & React

Not sure what to build? Dive in with these Javascript AI projects! Learn how to build LLM powered apps using Langchain.js and React! Connect your apps to LLMs such as OpenAI, create agents, use vector databases, or setup AI context.


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