<?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>Blog on Patrick Schnaß</title><link>https://schnass.eu/posts/</link><description>Recent content in Blog on Patrick Schnaß</description><image><title>Patrick Schnaß</title><url>https://schnass.eu/images/og-image.png</url><link>https://schnass.eu/images/og-image.png</link></image><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 09 Feb 2025 18:30:57 +0000</lastBuildDate><atom:link href="https://schnass.eu/posts/index.xml" rel="self" type="application/rss+xml"/><item><title>DeepSeek-R1 explored</title><link>https://schnass.eu/posts/deepseek/</link><pubDate>Sun, 09 Feb 2025 18:30:57 +0000</pubDate><guid>https://schnass.eu/posts/deepseek/</guid><description>Why DeepSeek-R1 was a significant step for Open Source AI.</description></item><item><title>A view on BLT</title><link>https://schnass.eu/posts/blt/</link><pubDate>Thu, 02 Jan 2025 09:30:57 +0000</pubDate><guid>https://schnass.eu/posts/blt/</guid><description>Byte Latent Transformer (BLT), a tokenizer-free architecture for NLP.</description></item><item><title>LLM Quantization in a nutshell</title><link>https://schnass.eu/posts/quantllm/</link><pubDate>Sun, 28 Jan 2024 09:30:57 +0000</pubDate><guid>https://schnass.eu/posts/quantllm/</guid><description>An exploration of LLM quantization methods.</description></item><item><title>What is PEFT?</title><link>https://schnass.eu/posts/peft/</link><pubDate>Wed, 01 Nov 2023 18:30:57 +0000</pubDate><guid>https://schnass.eu/posts/peft/</guid><description>Fine-tuning of Large Language Models with Parameter Efficient.</description></item><item><title>Hands on with Retrieval Augmented Generation</title><link>https://schnass.eu/posts/hands-on-rag/</link><pubDate>Sat, 07 Oct 2023 10:30:00 +0000</pubDate><guid>https://schnass.eu/posts/hands-on-rag/</guid><description>Build a Chatbot that uses Retrieval Augmented Generation to retrieve domain specific knowledge.</description></item><item><title>What is RAG?</title><link>https://schnass.eu/posts/rag_intro/</link><pubDate>Fri, 29 Sep 2023 18:30:57 +0000</pubDate><guid>https://schnass.eu/posts/rag_intro/</guid><description>Retrieval Augmented Generation is an Architecture used for NLP tasks.</description></item><item><title>Generalized Models vs Specialized Models</title><link>https://schnass.eu/posts/generalvsspecializedmodels/</link><pubDate>Tue, 05 Sep 2023 11:50:57 +0000</pubDate><guid>https://schnass.eu/posts/generalvsspecializedmodels/</guid><description>Intuition and hints for deciding between one generalized and multiple specialized models.</description></item><item><title>Attention is all you need?</title><link>https://schnass.eu/posts/transformers/</link><pubDate>Wed, 30 Aug 2023 11:50:57 +0000</pubDate><guid>https://schnass.eu/posts/transformers/</guid><description>Explore the Transformer Architecture.</description></item><item><title>Road to GCP Professional Data Engineer</title><link>https://schnass.eu/posts/PDE/</link><pubDate>Sun, 02 Jul 2023 15:01:23 +0100</pubDate><guid>https://schnass.eu/posts/PDE/</guid><description>My learning journey to get certified</description></item><item><title>What are Large Language Models?</title><link>https://schnass.eu/posts/language_models/</link><pubDate>Tue, 02 May 2023 13:42:28 +0200</pubDate><guid>https://schnass.eu/posts/language_models/</guid><description>What are the ideas and concepts behind GPT Language Models?</description></item><item><title>Play Super Mario with RL</title><link>https://schnass.eu/posts/super_mario/</link><pubDate>Fri, 31 Mar 2023 11:58:22 +0200</pubDate><guid>https://schnass.eu/posts/super_mario/</guid><description>Learn how to train a Reinforcement Learning Agent to play GameBoy games in a Python written Emulator. With PyBoy, Q-Learning and Super Mario.</description></item><item><title>Road to GCP Professional Machine Learning Engineer</title><link>https://schnass.eu/posts/GCPMLE/</link><pubDate>Fri, 24 Feb 2023 21:01:23 +0100</pubDate><guid>https://schnass.eu/posts/GCPMLE/</guid><description>My learning journey to get certified</description></item><item><title>Latent Diffusion Models: What is all the fuzz about?</title><link>https://schnass.eu/posts/latent-diffusion-models/</link><pubDate>Fri, 20 Jan 2023 14:50:18 +0100</pubDate><guid>https://schnass.eu/posts/latent-diffusion-models/</guid><description>Learn how Latent Diffusion Models work and the mathematical intuition behind them.</description></item><item><title>Hands on with Latent Diffusion Models</title><link>https://schnass.eu/posts/hands-on-latent-diffusion-models/</link><pubDate>Fri, 13 Jan 2023 09:28:09 +0000</pubDate><guid>https://schnass.eu/posts/hands-on-latent-diffusion-models/</guid><description>Learn how to use Latent Diffusion Models to generate images.</description></item></channel></rss>