MLOps Shenanigans
Martynas ŠubonisA newsletter about machine learning operations.
| Platform |  | Pricing | Only free issues | Publishes | Monthly |
|---|---|---|---|---|---|
| Issues | 16 | Subscribers | Read | martynassubonis.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Advanced, Overlooked Python Typing
There is a common debate in Python circles: if you want static typing, why choose Python to begin with? One should just pick a language that supports it natively. The argument has some merit, but it assumes a world where one can “just pick”...
Scheduling ML Workloads on Kubernetes
The kube-scheduler is Kubernetes’ default scheduler, responsible for assigning newly created pods to suitable nodes. Scheduling happens in two phases: filtering and scoring. During the filtering phase, the scheduler evaluates hard requireme...
Dissecting the Model Context Protocol
On November 25, 2024, Anthropic introduced the Model Context Protocol (MCP), an open standard for connecting AI systems to external tools, data sources, and services1. Since that time, the protocol has seen increasing adoption, marked by a ...
Zero Temperature Randomness in LLMs
The randomness of LLM outputs is controlled by a parameter known as "temperature." A higher temperature increases randomness, while a lower temperature produces “more deterministic” outputs. Interestingly, documentation from major LLM provi...
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Authors
The writers behind this newsletter.
ML platform engineer with a background in data science and physics
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