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Homebrewed SLMs: Autoregressive and Masked Diffusion Language Models Built at Home for Portuguese

Paper recorded by Signals 4 on 2026-10-29 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-29 on arXiv · recorded by Signals 4 on 2026-10-30

Category: cs.LG · 机器学习 · first seen 2026-10-30

Abstract

Building a language model of one's own no longer requires a data centre. This tutorial trains one from scratch, tokenizer included, on one consumer GPU, and shows how to tell whether it is good for the tasks of a specialist domain. It proposes no new method. It releases a tested Python package and two notebooks in Brazilian Portuguese with autoregressive and masked diffusion generation on one netw

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#75 most recent of 703 cs.LG papers we have recorded · ↑ newer: TRACER, a time-to-event EHR foundation model for disease detection acr · ↓ older: NEOPIC: A Neural Operator Framework for Particle-based Kinetic Plasma
Cite this page: Homebrewed SLMs: Autoregressive and Masked Diffusion Language Models Built at Home for Portuguese: the #75 most recent of 703 cs.LG papers we have recorded (as of 2026-10-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/homebrewed-slms-autoregressive-and-masked-diffusion-language-models-built-at-hom.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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