<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>vadale.r-universe.dev</title><link>https://vadale.r-universe.dev</link><description>Recent package updates in vadale</description><generator>R-universe</generator><image><url>https://github.com/vadale.png</url><title>R packages by vadale</title><link>https://vadale.r-universe.dev</link></image><lastBuildDate>Thu, 09 Jul 2026 10:58:52 GMT</lastBuildDate><item><title>[vadale] relm 0.1.0</title><author>vadale93@gmail.com (Alessandro Vadala)</author><description>Load and run local large language models (through a
vendored, patched 'llama.cpp') from R and work with them as
plain data frames and matrices in base-R idiom. Provides model
loading and tokenization ('llm', 'llm_tokens'), text generation
('llm_generate'), next-token distributions ('llm_logits'), text
embeddings ('llm_embed'), and mechanistic interpretability
tools -- activation tracing ('llm_trace'), activation steering
('llm_steer'), and neuron ablation ('llm_ablate'). A
checksum-verified downloader ('llm_download') fetches pinned
models.</description><link>https://github.com/r-universe/vadale/actions/runs/29024667999</link><pubDate>Thu, 09 Jul 2026 10:58:52 GMT</pubDate><r:package>relm</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://vadale.r-universe.dev</r:repository><r:upstream>https://github.com/Vadale/R-ebirth</r:upstream><r:article><r:source>anatomy-lab.qmd</r:source><r:filename>anatomy-lab.html</r:filename><r:title>The anatomy lab: locating sentiment in a language model</r:title><r:created>2026-07-07 20:14:34</r:created><r:modified>2026-07-08 22:04:45</r:modified></r:article><r:article><r:source>topics-without-python.qmd</r:source><r:filename>topics-without-python.html</r:filename><r:title>Topic modelling without Python</r:title><r:created>2026-07-07 20:14:34</r:created><r:modified>2026-07-08 22:04:45</r:modified></r:article></item></channel></rss>