The article explains why a website might not appear in AI search results due to `robots.txt` blocking AI crawlers like GPTBot. It highlights that many developers unknowingly block these new crawlers, making their content invisible to a growing segment of information discovery.
MegaTrain é um sistema focado em memória que permite o treinamento eficiente de modelos de linguagem grandes com mais de 100 bilhões de parâmetros em precisão total em uma única GPU. Ele armazena parâmetros na memória do host e utiliza otimizações como um motor de execução pipeline e templates de camada sem estado para superar gargalos de largura de banda e maximizar a utilização da GPU.
The author describes training "Scout," a 50M-parameter language model, on TinyStories, emphasizing data quality and using prompt probes and Claude Code for evaluation. They detail the model's progress, noting its ability to recall subjects but struggling with context and exhibiting repetition at 12,800 steps.
This post discusses the bottleneck of Chinese language data for LLM training and proposes a practical multi-source pipeline. It details how to scrape clean, structured data from key Chinese social platforms like Weibo, Bilibili, and Xiaohongshu to enrich training datasets.