#Qwen 3.5
8 related articles
·3 分钟
N2 Model as a Free Claude Code Alternative: Does Voice-Driven AI Coding Actually Work?
N2 model, built on Qwen 3.5, is completely free and integrates with Claude Code. Real-world tests show voice commands generating full landing pages, with AgentOS enabling shared memory and multi-model collaboration for zero-cost AI coding.
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教程攻略·3 分钟
Alibaba Cloud Bailian Platform Hands-On: Complete Tutorial from API Calls to Multi-Turn Conversations
Complete tutorial on Alibaba Cloud Bailian platform covering API Key setup, Qwen model calls, streaming output, multi-turn conversation principles, and prompt engineering with four roles.
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教程攻略·4 分钟
AI Reverse Engineering in Practice: Automating Crawler Encryption Cracking with MCP Workflows
Guide to building an MCP-based AI reverse engineering workflow using Chrome MCP, Remus MCP, and LLM APIs for semi-automated crawler encryption cracking with real-world case studies.
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教程攻略·4 分钟
AI Reverse Engineering in Practice: Automating Crawler Encryption Cracking with MCP Workflows
Learn how to build an MCP-based AI reverse engineering workflow using Chrome MCP, Remus MCP, and LLM APIs to automate crawler encryption cracking, with real-world cases and cost analysis.
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产品体验·2 分钟
Benchmarking 15 LLMs Building a Bilibili Homepage: GPT Takes the Crown, Domestic Models Fall Behind
15 mainstream LLMs tested building a Bilibili video app from the same prompt. ChatGPT 5.4 tops overall, Claude excels at frontend, domestic models lag behind.
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产品体验·2 分钟
Testing 15 LLMs to Build a Bilibili Homepage: GPT Takes the Crown, Domestic Models Fall Behind
15 mainstream LLMs tested building a Bilibili video app from the same prompt. ChatGPT 5.4 tops overall, Claude excels at frontend, domestic models lag behind.
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科技前沿·2 分钟
SGLang v0.5.12.post1 Released: DeepSeek V4 Stability Fixes and Blackwell Adaptation
SGLang v0.5.12.post1 stability patch details: 12 critical fixes covering DeepSeek V4 garbled text and crashes, NIXL PD disaggregated inference logic, Blackwell B300 adaptation, and cold start optimization.
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产品体验
AI Coding Appliance vs Cloud LLMs: Can…
·2 分钟
AI Coding Appliance vs Cloud LLMs: Can ¥480K in Annual Fees Buy 4 Local Deployment Solutions?
A deep cost comparison between AI coding appliances and cloud LLM APIs. A 20-person team spending ¥480K/year on tokens can deploy 4 local OnePanel units at ¥99K each, breaking even in 2.5 months.
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