#large language model
1005 related articles
·3 min
Anthropic Enters Biodefense: How AI Is Safeguarding Global Public Health Security
Anthropic applies AI to biodefense — from early epidemic warnings and rapid vaccine R&D to threat assessment — exploring AI's critical role in global public health security.
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·2 min
What Is Claude Marketplace? A Deep Dive into Anthropic's Five New Partners
Anthropic launches Claude Marketplace with five new partners: Augment Code, Bolt.new, CodeRabbit AI, Hebbia, and Legora. Learn how it works and what it means for enterprises.
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·2 min
The Same Question Behind Six Claude Projects: Why Not Give It a Try?
A developer completed six projects with Claude, all starting from one question: Why not? Exploring the creator's mindset in the AI era and how to build efficient AI-assisted development habits.
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·1 min
Replit President Michele Catasta: 50 Million People Building Software with Natural Language
Replit President Michele Catasta shares the platform's latest milestone: over 50 million users building software with natural language and Claude. A deep dive into how Replit is democratizing programming.
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·2 min
Genspark AI: A Deep Dive into the All-in-One AI Workspace Built on Claude
Explore how Genspark AI leverages Anthropic's Claude to build an all-in-one AI workspace, with insights on team strategy, tech choices, and the competitive landscape.
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·1 min
Claude Design: Anthropic's AI-Powered Design Prototyping and Exploration Tool
Claude Design is Anthropic's AI-driven design exploration tool focused on prototyping via natural language. Explore its positioning, philosophy, competitive landscape, and impact on designers.
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·3 min
Deep Conversation with Gemini's Four Co-Leads: Technical Roadmap, Current State, and Future Direction
Google Gemini's four co-leads — Jeff Dean, Noam Shazeer, and others — discuss Gemini's technical roadmap, multimodal capabilities, Agent direction, and future strategy in a rare joint conversation.
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·4 min
OpenAI Swarm Framework Explained: The Core Mechanisms of Function Call and Handoff
Deep dive into OpenAI Swarm multi-agent orchestration framework, explaining Function Call tool invocation and Handoff task transfer mechanisms with local deployment guide.
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·2 min
Andrew Ng's Agent Skills Course Explained: Building Reusable Professional Skills for AI Agents
Deep dive into Andrew Ng's Agent Skills course with Anthropic, covering Skills architecture, progressive loading, MCP integration, and hands-on examples for building reusable AI agent skills.
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·4 min
7 Core Features of Hermes Agent Explained: The Real Reasons Users Are Abandoning OpenCore
Deep dive into Hermes Agent's 7 core features including Kanban multi-tasking, /goal deep execution, and multi-agent architecture, compared with OpenCore's stability and performance issues.
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·3 min
Dify Local Deployment Tutorial: A Beginner's Guide Using Virtual Machine + BT Panel
Step-by-step Dify local deployment guide using VMware, Ubuntu, BT Panel, and Docker. Perfect for beginners with zero Linux experience to set up this open-source AI development platform.
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·2 min
Gemini Spark: Google's AI Workflow Assistant with Deep Workspace Integration
Gemini Spark is Google's AI workflow assistant powered by Gemini 3.5 Flash, deeply integrated with Google Docs, Gmail, and Workspace apps for cross-app task orchestration and office automation.
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·2 min
Gemini Spark: Google's AI Workflow Assistant with Deep Workspace Integration
Gemini Spark is Google's AI workflow assistant powered by Gemini 3.5 Flash, deeply integrated with Google Docs, Gmail, and other Workspace apps for cross-app task orchestration and boosted productivity.
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Tutorials·4 min
Cursor + Codex Dual-IDE Collaboration: A Practical Methodology for Open-Source Project Customization
A complete methodology for open-source project customization based on real-world experience, detailing the Cursor+Codex dual-IDE workflow, seven-stage process, MVP validation, and AI source code reading techniques.
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Tutorials·3 min
ReAct vs. CodeAct: Two Core Approaches to Agent Tool Calling
In-depth comparison of ReAct and CodeAct — two core Agent tool-calling architectures. From paper principles to code implementation, learn the trade-offs between reasoning+action and code execution.
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Tutorials·2 min
Getting Started with RAG: What Is Retrieval-Augmented Generation and How Does It Solve LLM Hallucination?
RAG (Retrieval-Augmented Generation) is the core solution for LLM hallucination. Learn RAG concepts, how it works, three causes of hallucination, and the complete learning path from basics to Knowledge Graph RAG.
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Product Reviews·2 min
Qoder vs Cursor Real-World Comparison: Which $20/Month AI IDE Is Better?
Hands-on comparison of Qoder vs Cursor AI IDEs: Agent autonomy, human interaction count, and architecture decisions. Qoder needed only 2 interactions vs Cursor's 8.
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Tutorials·2 min
Hermes Agent Local Deployment Tutorial: Installing and Configuring a Self-Evolving AI Assistant
Complete guide to deploying Hermes Agent locally on Windows, covering WSL2 setup, Git configuration, and DeepSeek model integration for a self-learning AI Agent.
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Tutorials·2 min
How AI Coding Skills Work: From Function Call to Sub-Agent Implementation
Deep dive into how AI coding Skills work technically, from Function Call to MCP to Skills as sub-agents with on-demand loading, implemented via Spring AI Alibaba.
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Tutorials·1 min
Spring AI Alibaba Agent Framework: Three-Layer Architecture and Learning Path
Deep dive into Spring AI Alibaba Agent Framework's three-layer architecture: Spring AI foundation, Graph framework, and Agent Framework, with a recommended learning path for Java developers.
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