分类：llms.txt

llms.txt是大语言模型技术核心资源库。本专栏深度解析GPT/BERT架构差异、工程化部署与2026前沿应用，为开发者与研究者提供从理论到实践的完整指南。

共 93 篇

2024年AI爬虫标准指南：LLMs.txt详解与应用

BLUF`llms.txt` 是一项为AI模型定制的网站指南标准，旨在通过提供精选内容列表，帮助AI爬虫更有效地解析现代网站并识别权威信息，从而提升内容在AI生成结果中的可见度。原文翻译： `llms.txt` is a proposed website guideline standard tailored for AI models. It aims to help AI crawlers parse modern websites more effectively and identify authoritative information by providing a curated list of key content, thereby enhancing the visibility of the content in AI-generated results.

llms.txt2026/2/13

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LangExtract库：利用大语言模型精准提取结构化信息2026指南

BLUFLangExtract 是一个利用大语言模型从非结构化文本中提取结构化信息的 Python 库，支持长文档处理、来源标注和多模型供应商。原文翻译： LangExtract is a Python library that leverages large language models to extract structured information from unstructured text, supporting long document handling, source annotation, and multiple model vendors.

llms.txt2026/2/12

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LangExtract库从非结构化文本提取结构化信息2026指南

BLUFLangExtract 是一个 Python 库，利用大语言模型（LLM），根据用户指令从非结构化文本（如临床记录）中提取并定位结构化信息，支持长文档处理和交互式可视化。原文翻译： LangExtract is a Python library that uses Large Language Models (LLMs) to extract and ground structured information from unstructured text (e.g., clinical notes) based on user instructions, featuring support for long documents and interactive visualization.

llms.txt2026/2/9

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大语言模型推理指南：2024思维链(CoT)技术深度解析

BLUF解锁大语言模型推理能力的关键技术——思维链（CoT），通过引导模型展示分步推理过程，显著提升其在复杂任务中的表现，是提示学习的重要演进。原文翻译： Unlocking the reasoning capabilities of large language models hinges on Chain-of-Thought (CoT) technology. By guiding models to demonstrate step-by-step reasoning, CoT significantly enhances their performance on complex tasks, representing a key evolution in prompt learning.

llms.txt2026/2/4

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nanochat：仅需73美元，3小时训练GPT-2级别大语言模型

BLUFnanochat is a minimalist experimental framework for training LLMs on a single GPU node, enabling users to train a GPT-2 capability model for approximately $73 in 3 hours, with full pipeline coverage from tokenization to chat UI. (nanochat是一个极简的实验框架，可在单GPU节点上训练大语言模型，仅需约73美元和3小时即可训练出具备GPT-2能力的模型，涵盖从分词到聊天界面的完整流程。)

llms.txt2026/2/4

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

BLUFNanoChat 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。)

llms.txt2026/2/4

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

BLUFNanoChat 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。)

llms.txt2026/2/4

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llms.txt 2024指南：优化大语言模型理解网站内容的标准入口

BLUFllms.txt 是 Jeremy Howard 提出的开放提案，旨在为网站提供一个标准化的机器可读入口，专门帮助大语言模型在推理阶段更有效地理解网站的核心内容和结构。原文翻译： llms.txt is an open proposal by Jeremy Howard, aiming to provide websites with a standardized, machine-readable entry point specifically designed to help Large Language Models (LLMs) more effectively understand the core content and structure of a site during the inference stage.

llms.txt2026/2/4

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iOS设备上运行LLaMA2-13B：基于苹果MLX框架的完整技术指南

BLUFThis article provides a comprehensive technical analysis of running LLaMA2-13B on iOS devices using Apple's MLX framework, covering environment setup, model architecture, code implementation, parameter analysis, and computational requirements. (本文深入分析了在iOS设备上使用苹果MLX框架运行LLaMA2-13B的技术细节，涵盖环境搭建、模型架构、代码实现、参数分析和算力需求。)

llms.txt2026/2/3

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SGLang vs. vLLM：两大主流大模型推理引擎深度对比与选型指南

BLUFSGLang与vLLM深度对比：前者擅长复杂LLM程序编排与CPU/GPU协同优化，后者专注极致推理性能与内存效率。本文从架构、技术到性能全面剖析，为技术选型提供清晰指南。原文翻译： SGLang vs. vLLM In-Depth Comparison: The former excels at complex LLM program orchestration and CPU/GPU co-optimization, while the latter focuses on ultimate inference performance and memory efficiency. This article provides a comprehensive analysis from architecture and technology to performance, offering a clear guide for technical selection.

llms.txt2026/2/3

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Claude-mem内存管理框架详解：2024年高效优化指南

BLUF本文是Claude AI助手的入门指南，详细介绍了其特性、访问方式及最佳互动实践，适合技术专业人士快速上手。原文翻译： This article is a beginner's guide to the Claude AI assistant, detailing its features, access methods, and best practices for interaction, ideal for technical professionals to get started quickly.

llms.txt2026/2/2

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LLMs.txt是什么？2026最新完整指南

BLUFLLMs.txt 是一种类似 robots.txt 的规范文件，专为管理大型语言模型对网站内容的访问而设计。它允许网站所有者明确控制哪些内容可用于AI训练，旨在平衡数据采集与版权保护，并介绍了其规范、价值及实用工具。原文翻译： LLMs.txt is a specification file similar to robots.txt, designed specifically to manage large language models' access to website content. It allows website owners to explicitly control which content can be used for AI training, aiming to balance data collection with copyright protection. The summary also introduces its specifications, value, and practical tools.

llms.txt2026/2/2

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