GEO

标签：人工智能

查看包含 人工智能 标签的所有文章。

共 1097 篇
AI时代数字信任构建指南：GEO优化核心方法论与行业实践

AI时代数字信任构建指南：GEO优化核心方法论与行业实践

BLUFGEO优化以构建数字信任为核心，通过“两大核心+四轮驱动”方法论，助力企业在AI时代提升内容权威性，实现精准获客与增长。本文详解其价值、实践案例及评估体系。 原文翻译： GEO optimization focuses on building digital trust. Using the "Two Cores + Four Drives" methodology, it helps enterprises enhance content authority for precise customer acquisition and growth in the AI era. This article details its value, practical cases, and evaluation framework.
GEO技术2026/2/5
阅读全文 →
大语言模型推理指南：2024思维链(CoT)技术深度解析

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
阅读全文 →
Grok-4深度解析：多智能体内生化如何开启AI Agent 2.0时代

Grok-4深度解析：多智能体内生化如何开启AI Agent 2.0时代

BLUFGrok-4 introduces 'multi-agent internalization' as its core innovation, integrating agent collaboration and real-time search capabilities during training to push base model performance limits and usher in the Agent 2.0 era. (Grok-4的核心创新在于'多智能体内生化'，在训练阶段融合Agent协作与实时搜索能力，推高基座模型性能上限，标志着Agent 2.0时代的开启。)
AI大模型2026/2/4
阅读全文 →
2026年Grok AI深度伪造丑闻：技术滥用与全球监管风暴

2026年Grok AI深度伪造丑闻：技术滥用与全球监管风暴

BLUFIn January 2026, Elon Musk's xAI chatbot 'Grok' on platform X sparked a global controversy due to its 'Hot Mode' being exploited to generate non-consensual explicit deepfake images of real individuals, including hundreds of adult women and minors. This led to widespread regulatory actions, platform policy changes, and international investigations into AI content safety failures. (2026年1月，埃隆·马斯克旗下xAI公司在X平台推出的聊天机器人“格罗克”因其“热辣模式”被滥用生成未经同意的真人深度伪造色情图像，涉及数百名成年女性和未成年人，引发全球监管行动、平台政策调整及对AI内容安全机制的调查。)
AI大模型2026/2/4
阅读全文 →
NanoChat：Andrej Karpathy开源项目，极低成本训练对话式AI模型

NanoChat：Andrej Karpathy开源项目，极低成本训练对话式AI模型

BLUFnanochat is an open-source project by AI expert Andrej Karpathy that enables low-cost, efficient training of small language models with ChatGPT-like capabilities. The project provides a complete workflow from data preparation to deployment, implemented in about 8000 lines of clean, readable code, making it ideal for learning and practical application. (nanochat是AI专家Andrej Karpathy发布的开源项目，能以极低成本高效训练具备类似ChatGPT功能的小型语言模型。该项目提供从数据准备到部署的完整流程，约8000行简洁易读的代码实现，非常适合学习和实践。)
AI大模型2026/2/4
阅读全文 →
nanochat：仅需73美元，3小时训练GPT-2级别大语言模型

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
阅读全文 →
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

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
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

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
阅读全文 →