<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Parth Shastri, blog</title><description>Long reads on models, training &amp; the math behind them.</description><link>https://www.parth-shastri.com/</link><item><title>Unpacking open recipes for training and tuning foundation models</title><link>https://www.parth-shastri.com/blog/open-training-recipes/</link><guid isPermaLink="true">https://www.parth-shastri.com/blog/open-training-recipes/</guid><description>The open strategies for building and refining capable LLMs, from OLMo&apos;s pre-training to the Tulu post-training recipe from AI2.</description><pubDate>Sun, 01 Jun 2025 00:00:00 GMT</pubDate><category>Training</category></item><item><title>Phi-2-ning: tuning a small language model</title><link>https://www.parth-shastri.com/blog/phi2ning/</link><guid isPermaLink="true">https://www.parth-shastri.com/blog/phi2ning/</guid><description>A walkthrough of fine-tuning Microsoft&apos;s 2.7B parameter Phi-2 with supervised fine-tuning (SFT) and Direct Preference Optimization (DPO).</description><pubDate>Mon, 29 Jan 2024 00:00:00 GMT</pubDate><category>Fine-tuning</category></item><item><title>Transformers: how generative language models work</title><link>https://www.parth-shastri.com/blog/understanding-llms/</link><guid isPermaLink="true">https://www.parth-shastri.com/blog/understanding-llms/</guid><description>The Transformer architecture behind large language models, and the generative pre-training that brings them to life.</description><pubDate>Sun, 30 Jul 2023 00:00:00 GMT</pubDate><category>Architecture</category></item><item><title>Demystifying diffusion models</title><link>https://www.parth-shastri.com/blog/demystifying-diffusion-models/</link><guid isPermaLink="true">https://www.parth-shastri.com/blog/demystifying-diffusion-models/</guid><description>How diffusion models like DALL-E and Midjourney work, from the forward noising process to the simple loss that trains them (DDPM).</description><pubDate>Fri, 14 Oct 2022 00:00:00 GMT</pubDate><category>Generative</category></item></channel></rss>