<?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>Cheatsheets on Ship of Theseus</title><link>https://www.fanfani.net/cheatsheets/</link><description>Recent content in Cheatsheets on Ship of Theseus</description><generator>Hugo -- 0.152.2</generator><language>en-us</language><lastBuildDate>Wed, 07 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.fanfani.net/cheatsheets/index.xml" rel="self" type="application/rss+xml"/><item><title>LLM Tokenizers Cheatsheet</title><link>https://www.fanfani.net/cheatsheets/llm-tokenizers-cheatsheet/</link><pubDate>Wed, 07 Oct 2026 00:00:00 +0000</pubDate><guid>https://www.fanfani.net/cheatsheets/llm-tokenizers-cheatsheet/</guid><description>&lt;p&gt;How LLM tokenizers turn text into token IDs, and why the choice of BPE, WordPiece or SentencePiece matters.&lt;/p&gt;&lt;p&gt;&lt;a href="https://www.fanfani.net/cheatsheets/llm-tokenizers-cheatsheet/"&gt;Read the full post →&lt;/a&gt;&lt;/p&gt;</description></item><item><title>pip Cheatsheet</title><link>https://www.fanfani.net/cheatsheets/pip-cheatsheet/</link><pubDate>Wed, 07 Oct 2026 00:00:00 +0000</pubDate><guid>https://www.fanfani.net/cheatsheets/pip-cheatsheet/</guid><description>&lt;p&gt;pip and the classic Python workflow around it: installs, requirements files, virtual environments and reproducible pins.&lt;/p&gt;&lt;p&gt;&lt;a href="https://www.fanfani.net/cheatsheets/pip-cheatsheet/"&gt;Read the full post →&lt;/a&gt;&lt;/p&gt;</description></item><item><title>Self-Attention in LLMs Cheatsheet</title><link>https://www.fanfani.net/cheatsheets/self-attention-cheatsheet/</link><pubDate>Wed, 07 Oct 2026 00:00:00 +0000</pubDate><guid>https://www.fanfani.net/cheatsheets/self-attention-cheatsheet/</guid><description>&lt;p&gt;Self-attention in transformers: queries, keys and values, scaling, masking and multi-head attention.&lt;/p&gt;&lt;p&gt;&lt;a href="https://www.fanfani.net/cheatsheets/self-attention-cheatsheet/"&gt;Read the full post →&lt;/a&gt;&lt;/p&gt;</description></item><item><title>Special Tokens in LLMs Cheatsheet</title><link>https://www.fanfani.net/cheatsheets/llm-special-tokens-cheatsheet/</link><pubDate>Wed, 07 Oct 2026 00:00:00 +0000</pubDate><guid>https://www.fanfani.net/cheatsheets/llm-special-tokens-cheatsheet/</guid><description>&lt;p&gt;The reserved tokens that mark document boundaries, chat turns, tool calls and stop conditions in LLM inputs.&lt;/p&gt;&lt;p&gt;&lt;a href="https://www.fanfani.net/cheatsheets/llm-special-tokens-cheatsheet/"&gt;Read the full post →&lt;/a&gt;&lt;/p&gt;</description></item><item><title>UV Cheatsheet</title><link>https://www.fanfani.net/cheatsheets/uv-cheatsheet/</link><pubDate>Wed, 07 Oct 2026 00:00:00 +0000</pubDate><guid>https://www.fanfani.net/cheatsheets/uv-cheatsheet/</guid><description>&lt;p&gt;UV, Astral's Rust-based Python package and project manager: installs, environments, lockfiles, tools and publishing.&lt;/p&gt;&lt;p&gt;&lt;a href="https://www.fanfani.net/cheatsheets/uv-cheatsheet/"&gt;Read the full post →&lt;/a&gt;&lt;/p&gt;</description></item></channel></rss>