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-rw-r--r--content/posts/machine-learning-model-formats-and-runtimes/index.md (renamed from content/posts/machine-learning-formats/index.md)4
-rw-r--r--content/posts/machine-learning-model-formats-and-runtimes/squeezenet1.0-12-int8.onnx.svg (renamed from content/posts/machine-learning-formats/squeezenet1.0-12-int8.onnx.svg)0
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diff --git a/content/posts/machine-learning-formats/index.md b/content/posts/machine-learning-model-formats-and-runtimes/index.md
index de7338e..c88a9cd 100644
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---
title: Machine Learning model formats and runtimes
-draft: true
+draft: false
date: 2026-09-04
lastmod:
description: The Machine Learning ecosystem devised general purpose file formats and runtimes to share compute graphs and weights, and solve deployment issues since the 2010s. Now hardware or domain specific runtimes are being added to provide improved capabilities.
categories:
- Machine Learning
---
-In 2019 I first got into tinkering with machine learning. I kind of dropped out of it at the end of the year, and now that it's all over the news, I feel I can't draw a direct connection to what I used to know. Today I'd like to try and bridge that gap.
+In 2019 I first got into tinkering with machine learning. I kind of dropped out of it at the end of the year, and now that it's all over the news, I feel I can't draw a direct connection to what I used to know. Today I'd like to try and bridge some of that gap.
## The framework era
diff --git a/content/posts/machine-learning-formats/squeezenet1.0-12-int8.onnx.svg b/content/posts/machine-learning-model-formats-and-runtimes/squeezenet1.0-12-int8.onnx.svg
index af5ed48..af5ed48 100644
--- a/content/posts/machine-learning-formats/squeezenet1.0-12-int8.onnx.svg
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