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A systematic breakdown of seven core LLM learning modules covering environment setup, Prompt Engineering, RAG, Agents, dev frameworks, fine-tuning, and hands-on projects for developers.
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Complete Breakdown of the Free Gemini …
DeepLearning.AI and Google launch a free Gemini CLI course covering installation, MCP server integration, and automated workflows. Learn Agentic Coding best practices through an AI conference planning project.
Google Anti-Gravity 2.0 Explained: The…
Google Anti-Gravity 2.0 officially replaces Gemini CLI with a desktop app, CLI terminal, and SDK. Powered by Gemini 3.5 Flash, it supports multi-Agent parallel collaboration and one-click Managed Agents deployment.
Hermes Agent Practical Guide: From Ins…
Guide to Hermes Agent's architecture, installation, Skill extensions, Feishu integration, news bots, Python SDK integration, and automated workflows.
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A detailed guide to OpenAI Codex's six core capabilities with dual setup options: DeepSeek for China-based users and ChatGPT for global access.
Deep DivesDeep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
Product ReviewsCompare four leading AI Agent frameworks in 2026: Coze, AutoGen, CrewAI, LangChain, and AutoGen Studio — covering coding requirements, private deployment, and commercialization.
Product Reviews2025 comparison of four major AI Agent frameworks: Coze for beginners, AutoGPT/LangChain/MetaGPT for developers, Microsoft AutoGen for enterprise self-hosted deployment. A practical selection guide.
Deep DivesDeep dive into Agentic RAG vs traditional RAG, covering tool calling, multi-step iteration, query rewriting, with LangChain and LangGraph code examples for building intelligent retrieval systems.
TutorialsComplete guide to building AI agents on Coze from scratch, covering LLM configuration, prompt writing, plugin integration, knowledge base setup, and memory systems.
Deep DivesDeep dive into Tencent's open-source LLM knowledge platform WeKnora, covering RAG, autonomous reasoning Agent, and self-maintaining Wiki capabilities, plus its Go-based architecture and enterprise use cases.