<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Fp16 on 3rd layer</title><link>https://3rdlayer.uk/tags/fp16/</link><description>Recent content in Fp16 on 3rd layer</description><generator>Hugo -- 0.154.5</generator><language>en-US</language><lastBuildDate>Sun, 12 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://3rdlayer.uk/tags/fp16/index.xml" rel="self" type="application/rss+xml"/><item><title>Data Types in the Deep Learning Era</title><link>https://3rdlayer.uk/posts/numeric-data-types/</link><pubDate>Sun, 12 Apr 2026 00:00:00 +0000</pubDate><guid>https://3rdlayer.uk/posts/numeric-data-types/</guid><description>INT8, FP16, BF16, FP8, FP4 — what do the data types you keep seeing in deep learning actually mean, and how do bits turn into numbers? We take them apart one by one, with widgets where clicking a bit updates the formula and value in real time.</description></item></channel></rss>