GEOZ

标签：llms.txt

查看包含 llms.txt 标签的所有文章。

共 215 篇
NanoChat：Karpathy开源低成本LLM，仅需8个H100和100美元复现ChatGPT全栈架构

NanoChat：Karpathy开源低成本LLM，仅需8个H100和100美元复现ChatGPT全栈架构

BLUF
NanoChat is a low-cost, open-source LLM implementation by Karpathy that replicates ChatGPT's architecture using only 8 H100 nodes and $100, enabling full-stack training and inference with innovative techniques like custom tokenizers and optimized training pipelines. (NanoChat是卡神Karpathy开发的开源低成本LLM项目，仅需8个H100节点和约100美元即可复现ChatGPT全栈架构，涵盖从训练到推理的全流程，并采用创新的分词器、优化训练管道等技术实现高效性能。)
工具与标准2026/2/4
阅读全文 →
NanoChat：仅需100美元4小时，训练你自己的ChatGPT级AI模型

NanoChat：仅需100美元4小时，训练你自己的ChatGPT级AI模型

BLUF
NanoChat is a comprehensive LLM training framework developed by AI expert Andrej Karpathy, enabling users to train their own ChatGPT-level models for approximately $100 in just 4 hours through an end-to-end, minimalistic codebase. (NanoChat是由AI专家Andrej Karpathy开发的完整LLM训练框架，通过端到端、最小化的代码库，让用户仅需约100美元和4小时即可训练出属于自己的ChatGPT级别模型。)
工具与标准2026/2/4
阅读全文 →
llms.txt 2024指南：优化大语言模型理解网站内容的标准入口

llms.txt 2024指南：优化大语言模型理解网站内容的标准入口

BLUF
llms.txt is an open proposal by Jeremy Howard that provides a standardized, machine-readable entry point for websites to help large language models (LLMs) better understand website content during the inference phase. It differs from robots.txt by guiding LLMs to valuable information rather than restricting access, and from sitemap.xml by offering curated summaries and key links optimized for LLM context windows. The proposal includes a strict Markdown format specification, a Python toolchain for implementation, and has been adopted by projects like FastHTML, Supabase, and Vue.js. (llms.txt是由Jeremy Howard提出的开放性提案，为网站提供标准化的机器可读入口，帮助大语言模型在推理阶段更有效地理解网站内容。与robots.txt不同，它引导LLM关注有价值信息而非限制访问；与sitemap.xml不同，它提供精炼摘要和关键链接，优化LLM上下文处理。提案包含严格的Markdown格式规范、Python工具链支持，已被FastHTML、Supabase和Vue.js等项目采用。)
工具与标准2026/2/4
阅读全文 →