#AI 2.0
872 related articles
·3 分钟
Modulify 2.0 Deep Dive: How a Full-Lifecycle AI Website Platform Keeps Sites Growing
Deep analysis of Modulify 2.0's full-lifecycle AI website platform — from design and publishing to management and optimization. Exploring its core differences from traditional AI builders.
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·4 分钟
FlowTask 2.0: Building a Unified Enterprise Memory Layer for AI Agents
FlowTask 2.0 proposes a "Company Brain" that unifies data from Email, Slack, WhatsApp and more to provide real-time enterprise context for AI Agents, reducing repetitive context-feeding costs.
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·1 分钟
Privent 2.0: A Detailed Guide to Reversible Data Masking for n8n Workflows
Privent 2.0 provides reversible data masking for n8n AI Agent workflows via tokenization, supporting PII protection, secret security, and fully offline local deployment.
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·1 分钟
Privent 2.0: A Detailed Look at Reversible Data Masking for n8n Workflows
Privent 2.0 provides reversible data masking for n8n AI Agent workflows via tokenization, supporting PII protection, secret security, and fully offline local deployment.
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·4 分钟
Spring AI 2.0 in Practice: Building an Enterprise RAG Knowledge Base Q&A System with Cursor
Build an enterprise RAG knowledge base Q&A system using Spring AI 2.0, Cursor AI programming, Ollama local deployment, and Redis vector storage. Runs on just 4GB VRAM.
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·4 分钟
Spring AI 2.0: Five Key Updates Explained — Marching Toward the Age of AI Agents
Spring AI 2.0 brings five core updates: mandatory upgrade to Spring Boot 4, Tools parsing moving up, a built-in Agentic mechanism, MCP switching to Streamable HTTP, and an on-demand tool Advisor.
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·4 分钟
Spring AI 2.0 Explained: Five Key Updates Ushering in the Age of AI Agents
Spring AI 2.0 brings five core updates: mandatory Spring Boot 4 upgrade, Tools parsing moved up, built-in Agentic mechanism, MCP switch to Streamable HTTP, and on-demand tool-loading Advisor.
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·4 分钟
Spring AI 2.0: Five Key Updates Explained — Stepping into the Agent Era
Spring AI 2.0 brings five core updates: mandatory upgrade to Spring Boot 4, lifted Tools parsing, built-in Agentic mechanism, MCP switch to Streamable HTTP, and an on-demand tool-loading Advisor.
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·3 分钟
From Word Vectors to Large Language Models: The Complete Evolution of AI 2.0 Technology
From word vectors and embeddings to RNNs, BERT, Transformers, and ChatGPT — a complete guide to the technical evolution of large language models and the AI 2.0 era.
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Sx 2.0: Sharing AI Skills via Dropbox …
·3 分钟
Sx 2.0: Sharing AI Skills via Dropbox to Bridge Team Collaboration Gaps
Sx 2.0 distributes team AI skills via shared Dropbox folders — no servers, zero deployment cost. A deep dive into its design philosophy, technical trade-offs, and the future of AI skill asset management.
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·3 分钟
LongCat 2.0: Meituan Trains a 1.6 Trillion Parameter LLM on Domestic Chips
Meituan open-sources LongCat 2.0, a 1.6T-parameter MoE model trained on 50,000+ custom chips without NVIDIA GPUs or Google TPUs, rivaling OpenAI and Google.
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·3 分钟
Spring AI 2.0 Deep Dive: A Java Developer's Guide to LLM Application Development
A deep dive into Spring AI 2.0: provider-agnostic APIs, RAG with vector databases, and how Java developers can build LLM apps using the Spring ecosystem.
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·5 分钟
OSWorld 2.0 Benchmark: Top AI Agent Achieves Only 20% Completion Rate — Long-Horizon Tasks Are the Achilles' Heel
OSWorld 2.0 benchmark tests 108 long-horizon computer tasks. Claude Opus tops at only 20.6% completion, exposing critical AI weaknesses in state tracking and error self-correction.
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·5 分钟
OSWorld 2.0 Benchmark: Top AI Agents Achieve Only 20% Completion Rate — Long-Horizon Tasks Are the Fatal Weakness
OSWorld 2.0 benchmark tests 108 long-horizon computer tasks (median 1.6 hrs for humans). Claude Opus tops out at 20.6% completion, exposing critical AI Agent weaknesses in state maintenance and self-correction.
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·7 分钟
Spring AI 2.0 in Practice: A Beginner's Guide for Java Developers Building AI Agents
A complete Spring AI 2.0 guide for Java developers covering unified API abstraction, RAG, tool calling, MCP protocol, and enterprise projects to build AI Agents.
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·2 分钟
OpenCQRS 2.0: Write Tests in Business Domain Language and Let the Code Speak for Itself
OpenCQRS 2.0 introduces a testing DSL that aligns with business domain language. Explore how Given-When-Then maps to CQRS/Event Sourcing and enables living documentation.
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·4 分钟
Deep Dive into Alibaba's AgentScope 2.0: Six Core Upgrades and Agent Design Patterns Explained
Deep analysis of Alibaba's AgentScope 2.0 multi-agent framework: six core upgrades including event systems, security interception, HITL, and workspace systems, plus ReAct vs Plan-and-Execute agent design patterns.
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·3 分钟
Huawei HDC Deep Dive: Pangu 2.0 Goes Open Source and HarmonyOS 7 Agents Reshape the Mobile AI Ecosystem
Huawei HDC unveils Pangu 2.0 full open source and HarmonyOS 7 system-level Agent capabilities. Deep analysis of sparse architecture efficiency, on-device 30B models, and the Agent gateway battle.
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教程攻略·3 分钟
AI Short Drama Production 2.0: The Technical Leap from Motion Comics to Live-Action AI Dramas
Deep dive into the latest AI short drama production techniques, detailing how Jimeng's Cdance 2.0 enables one-shot video generation with built-in audio, character consistency, and simplified prompts.
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产品体验·3 分钟
Claude Code 2.0 Complete Breakdown: Checkpoint Rollback, Context Visualization, and Other Core Features Explained
Deep dive into Claude Code 2.0's core features: checkpoint rollback, context window visualization, usage tracking, native VS Code extension, and MCP server integration, with comparisons to Cursor and Codex.
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