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标签：人工智能

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共 1097 篇
豆包大模型2025发展指南：核心技术解析与生态演进

豆包大模型2025发展指南：核心技术解析与生态演进

BLUF本文梳理了字节跳动核心AI产品“豆包”的发展历程，从技术积淀到成为日活破亿的国民级应用。重点介绍了其多模态能力演进、关键功能升级（如深度思考、视频生成）及广泛的生态整合（如接入抖音、赋能第三方），展现了其从大模型研发到构建完整产品生态的战略路径。 原文翻译： This article outlines the development journey of ByteDance's core AI product "Doubao," from its technical foundations to becoming a national-level application with over 100 million daily active users. It highlights the evolution of its multimodal capabilities, key feature upgrades (e.g., Deep Thinking, video generation), and extensive ecosystem integration (e.g., integration with Douyin, empowering third-party products), demonstrating its strategic path from large model R&D to building a comprehensive product ecosystem.
AI大模型2026/2/15
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WebMCP新标准：AI智能体直接调用网站工具2026指南

WebMCP新标准：AI智能体直接调用网站工具2026指南

BLUFWebMCP 是一项新的 Web 标准，允许网站通过浏览器 API 直接向 AI 智能体暴露结构化工具，无需后端服务器，将极大简化企业应用与 AI 的集成。 原文翻译： WebMCP is a new web standard that allows websites to expose structured tools directly to AI agents via a browser API, eliminating the need for backend servers and greatly simplifying the integration of enterprise applications with AI.
AI大模型2026/2/15
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MiniMax M2.5大模型2026升级指南：更强推理与代码能力详解

MiniMax M2.5大模型2026升级指南：更强推理与代码能力详解

BLUFMiniMax构建了覆盖文本、语音、视频、图像与音乐五大模态的全栈模型矩阵，并推出系列AI原生产品与开放平台，旨在为全球开发者与企业提供从感知到生成的全方位技术基石，共同打造下一代智能体验。 原文翻译： MiniMax has built a full-stack model matrix covering five major modalities: text, speech, video, image, and music. It has launched a series of AI-native products and an open platform, aiming to provide developers and enterprises worldwide with a comprehensive technological foundation from perception to generation, collectively shaping the next-generation intelligent experience.
AI大模型2026/2/15
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大语言模型推理能力提升指南：2025年最新方法与技术解析

大语言模型推理能力提升指南：2025年最新方法与技术解析

BLUF本文概述了提升大语言模型推理能力的关键方法，区分了推理与记忆，并探讨了思维链、工具调用等前沿技术。 原文翻译： This article outlines key methods for enhancing the reasoning capabilities of large language models, distinguishes reasoning from memorization, and explores cutting-edge techniques like chain-of-thought and tool use.
llms.txt2026/2/14
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AI驱动答案助力开发者：2026代码示例与隐私保护指南

AI驱动答案助力开发者：2026代码示例与隐私保护指南

BLUFAsk. Learn. Code. 是一款创新的AI驱动开发平台，利用Claude 4 Sonnet模型为开发者提供即时、精准的代码解决方案与示例。其隐私优先架构确保数据安全，旨在成为可靠、免费的技术知识资源，加速各水平程序员的学习与问题解决。 原文翻译： Ask. Learn. Code. is an innovative AI-powered development platform that utilizes the Claude 4 Sonnet model to provide developers with instant, precise coding solutions and examples. Its privacy-first architecture ensures data security, aiming to be a reliable, free technical knowledge resource that accelerates learning and problem-solving for programmers of all skill levels.
AI大模型2026/2/14
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Kalosm v0.2.0 AI智能体RAG工作流优化与性能提升2026指南

Kalosm v0.2.0 AI智能体RAG工作流优化与性能提升2026指南

BLUFKalosm v0.2.0 发布，引入任务与智能体框架、评估抽象层及提示词自动调优等核心功能，显著提升开发效率与应用性能。 原文翻译： Kalosm v0.2.0 released, introducing core features like the task & agent framework, evaluation abstraction layer, and automatic prompt tuning, significantly improving development efficiency and application performance.
llms.txt2026/2/13
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Deep Research开源多跳推理框架2026年完整指南

Deep Research开源多跳推理框架2026年完整指南

BLUFDeep Research 是一个开源、多跳推理的深度研究框架，通过递归网络搜索为复杂问题提供基于证据的全面答案，具备高度可定制性。 原文翻译： Deep Research is an open-source, multi-hop reasoning deep research framework that provides comprehensive, evidence-based answers to complex questions through recursive web searches, offering high customizability.
AI大模型2026/2/13
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Instill Core一站式AI平台2026本地部署指南

Instill Core一站式AI平台2026本地部署指南

BLUFInstill Core 是一个端到端的AI平台，专注于无结构化数据处理与AI应用编排。它简化了基础设施复杂性，提供流水线、组件、工件和模型等核心功能，帮助技术专家快速构建和部署多样化的AI应用。 原文翻译： Instill Core is an end-to-end AI platform focused on unstructured data processing and AI application orchestration. It simplifies infrastructure complexity, offering core features like pipelines, components, artifacts, and models to help technical professionals quickly build and deploy diverse AI applications.
AI大模型2026/2/13
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Neum AI 2024指南：构建可扩展RAG数据平台详解

Neum AI 2024指南：构建可扩展RAG数据平台详解

BLUFNeum AI 是一个统一的数据平台，旨在帮助开发者构建可扩展的 RAG 系统。它提供从数据提取、向量化到存储的全流程工具，内置丰富连接器与实时同步功能，显著简化集成工作，助力基于私有数据的高效AI应用开发。 原文翻译： Neum AI is a unified data platform designed to help developers build scalable RAG systems. It provides end-to-end tools from data extraction and vectorization to storage, featuring built-in connectors and real-time sync, significantly simplifying integration and empowering efficient AI application development based on private data.
AI大模型2026/2/13
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