MLOps Shenanigans
Martynas ŠubonisA newsletter about machine learning operations.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 14 | Subscribers | Read | martynassubonis.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
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...
5 Empirical Laws of Software Engineering
This article takes a slightly different direction than previous ones. Rather than diving into purely technical topics, we’ll explore a set of empirical observations—often referred to as “laws”—that have repeatedly emerged in software engine...
Tensor and Fully Sharded Data Parallelism
In previous articles, we covered data, model, and pipeline parallelisms. Data parallelism offers excellent bandwidth utilization and works well when the entire model fits into a single device’s memory. Pipeline parallelism provides a strate...
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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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