#DeepSeek-R1
22 related articles
·3 min
Claude Code Desktop Configuration Guide: Login-Free Setup + Chinese Localization + DeepSeek Integration
Complete guide to configuring Claude Code Desktop: login-free setup via Developer Mode, DeepSeek integration through CC Switch, Chinese localization, and custom Skill loading.
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Complete Guide to Installing and Confi…
·3 min
Complete Guide to Installing and Configuring Claude Code Desktop: Connecting to DeepSeek Models
Complete guide to Claude Code Desktop setup: installation, account-free usage, Chinese localization, connecting DeepSeek models via CC Switch, and custom Skills for cost-effective AI coding.
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Complete Guide to Claude Code Desktop:…
·3 min
Complete Guide to Claude Code Desktop: Direct Access in China + Chinese Localization + DeepSeek Integration
Step-by-step guide to installing Claude Code Desktop with DeepSeek integration for direct China access, Chinese localization, and custom Skill setup.
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Codex++ Hands-On: Complete Guide to Co…
·2 min
Codex++ Hands-On: Complete Guide to Connecting Chinese LLMs Without a ChatGPT Account
Step-by-step tutorial on using Codex++ to connect Chinese LLMs like DeepSeek and Tongyi Qianwen without a ChatGPT account, with full Computer Use and plugin support.
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·2 min
Google Hides Gemini's Chain of Thought: Why This AI Transparency Rollback Is Sparking Controversy
Google now hides Gemini's thinking process by default, preventing users from verifying reasoning logic and search behavior. We analyze why this transparency rollback matters and how it compares to ChatGPT and Claude.
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Deep Dives·3 min
Complete Guide to LLM Training: Pre-training, SFT Fine-tuning, and Preference Alignment Explained
Complete guide to the three core LLM training stages: pre-training, supervised fine-tuning (SFT), and preference alignment (DPO/PPO), covering LoRA, distillation, quantization, and pruning.
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Tutorials·3 min
Building an R Language AI Programming Workstation with Positron + Continue + DeepSeek
Step-by-step tutorial: Build an R language AI programming environment using Positron editor, Continue plugin, and DeepSeek models, covering installation, code autocomplete, and COSTAR prompt framework.
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Product Reviews·3 min
Manus Hands-On Review: How Does This AI Agent Perform on the DeepSeek Tech Stack?
Hands-on review of Manus AI Agent on the DeepSeek tech stack, analyzing task execution, Chinese reasoning capabilities, strengths, limitations, and the potential of domestic LLMs in Agent applications.
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Product Reviews·2 min
DeepSeek V4Pro for Free? The Truth About AI Aggregation Platforms & How to Avoid Getting Scammed
A Bilibili video claims DeepSeek V4Pro is free and unlimited, but no such version officially exists. This article analyzes third-party AI aggregation platforms, their risks, and safer alternatives.
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Product Reviews·2 min
Free Unlimited DeepSeek Full Version? Deep Dive into AI Aggregation Platforms & Risk Analysis
In-depth analysis of AI aggregation platforms claiming free unlimited DeepSeek R1 full version access, revealing data security risks and sustainability concerns, with reliable alternatives.
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Expert Opinions·3 min
The Salary Ceiling for Agent Engineers: Two Critical Dividing Lines
Agent engineer salary gaps hinge on two dividing lines: real production deployment experience and depth of foundational theory including deep learning, fine-tuning, and reinforcement learning.
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Industry Insights·3 min
AI Conversational Programming vs. RPA: Revolution or Complementary? A Deep Dive into Capability Boundaries
Can AI conversational programming replace RPA? Deep analysis of AI's strengths in simple tasks vs. limitations in complex workflows, user return-to-RPA trends, and the future of AI+RPA hybrid automation.
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Tutorials·3 min
Hermes Agent in Practice: A Complete Breakdown from ReAct Loop to Autonomous Skill Evolution
Deep dive into Hermes Agent's four progressive cases: terminal ReAct loop, Feishu AI assistant, four-layer persistent memory, and three-stage Skill evolution with DeepSeek support.
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Industry Insights·2 min
AMD MI355X Beats B200: Full-Stack Optimization Breakdown for 5% Lower TCO on DeepSeek-R1 Inference
AMD Instinct MI355X achieves 5% lower TCO than NVIDIA B200 on DeepSeek-R1 disaggregated inference via SGLang+MoRI full-stack optimization with 1.25x per-GPU throughput.
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Tutorials
LangGraph 0.5.3 + MCP Agent Developmen…
·2 min
LangGraph 0.5.3 + MCP Agent Development in Practice: Security Authentication & Deployment Guide
LangGraph 0.5.3 introduces MCP server security authentication and agent deployment solutions. Combined with Qwen3 models, it provides a complete production-grade AI agent development stack.
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Research·2 min
Meta Muse Spark Technical Deep Dive: How Three-Dimensional Scaling Achieves 10x Compute Reduction
Meta reveals Muse Spark technical details: three-dimensional scaling across pre-training, RL, and test-time inference achieves over 10x compute reduction versus Llama 4 Maverick.
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Tutorials
Claude Code Desktop Installation Guide…
·3 min
Claude Code Desktop Installation Guide: No Account Required + Full DeepSeek Integration Tutorial
Step-by-step guide: Install Claude Code Desktop, use it without an account via Developer Mode, integrate DeepSeek models through CC Switch, and set up custom Skills for low-cost AI coding.
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Product Reviews
Trae + Doubao Seed 2.0 Hands-On: Build…
·3 min
Trae + Doubao Seed 2.0 Hands-On: Building a Full-Stack Book Management System for Free
Hands-on test of Trae IDE with Doubao Seed 2.0 building a Django+Vue3 book management system for free, benchmarked against Gemini 2.5 and MiniMax models.
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Product Reviews·2 min
Page Agent: Alibaba's Open-Source AI Browser Extension for Form Automation
Page Agent is Alibaba's open-source AI browser extension that automates form filling and data entry via natural language. Supports Chrome, multiple LLMs, and backend integration.
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Tutorials·3 min
Getting Started with AI Full-Stack Development: A Knowledge Framework from Machine Learning to Large Language Models
A systematic guide to the relationships between AI, machine learning, deep learning, and large language models, helping developers build a clear knowledge framework and find an efficient learning path.
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