#Meta AI
39 related articles
·3 min
AI Agent Development Tutorial: A Practical Guide from Zero to One-Person Company
A systematic guide to AI Agent development covering the three-stage learning path, core tech stack including LLM, RAG, and LangChain, plus how to build a one-person company through automated Agent workflows.
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Java Developer's Guide to AI Applicati…
·3 min
Java Developer's Guide to AI Application Development: Career Path, Skills, and Hands-On Strategy
A practical guide for Java developers transitioning to AI app development. Includes a 45-day learning plan covering Spring AI, RAG, Agent skills, plus resume and interview strategies.
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LangGraph Core Explained: Its Relation…
·3 min
LangGraph Core Explained: Its Relationship with LangChain and Multi-Agent Orchestration Principles
Deep dive into LangGraph's core positioning, its relationship with LangChain, practical code comparisons of Chain vs Graph, understanding Agent essentials, and multi-agent orchestration design.
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AI Large Language Model Learning Roadm…
·3 min
AI Large Language Model Learning Roadmap for Beginners: A Three-Month Hands-On Guide
A detailed zero-to-hero AI large model learning roadmap covering four phases—fundamentals, RAG, Agents, and engineering deployment—with a practical three-month study plan and career advice.
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AI Super Week: Hundred-Billion-Dollar …
·4 min
AI Super Week: Hundred-Billion-Dollar Capital, the Agent Revolution, Safety Crises, and China's New Landscape
Deep analysis of AI Super Week's four themes: Alphabet's $80B raise and Anthropic's IPO ignite capital markets, OpenAI Codex drives the Agent work revolution, Florida's first AI lawsuit sounds safety alarms, and China's WeChat Agent charts a differentiated path.
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Meta SAM 3D Receives CVPR Best Paper H…
·2 min
Meta SAM 3D Receives CVPR Best Paper Honorable Mention: A Segmentation Breakthrough from 2D to 3D
Meta AI's SAM 3D wins CVPR 2026 Best Paper Honorable Mention, extending universal segmentation from 2D images to 3D space with major implications for robotics, autonomous driving, and AR/VR.
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·2 min
Apple AR Glasses Delayed to 2030, Vision Air Canceled, New Vision Pro Coming 2028 at Earliest
Apple AR glasses delayed to 2029-2030, Vision Air canceled, replaced by a lighter, cheaper next-gen Vision Pro expected in late 2028 or 2029.
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·2 min
Apple Smart Glasses: The Ambition and Market Strategy Targeting Billions of Eyewear Users
Apple smart glasses strategy analysis: targeting billions of eyewear users with a "replacement" approach that lowers adoption barriers, leveraging ecosystem advantages to compete in the $180B+ market.
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·2 min
Major Shakeup in Apple's Vision Product Line: Vision Air Canceled, AR Glasses Delayed to Late 2027
Apple's Vision product line faces major restructuring: Vision Air and Display Glasses canceled, AI glasses delayed to late 2027, AR glasses pushed to 2029. The spatial computing strategy undergoes deep reassessment.
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·1 min
OpenAI Science Division Dissolved: The AGI Strategic Focus Behind Decentralized Restructuring
OpenAI for Science division officially split up, with its head departing. Deep analysis of OpenAI's strategy to decentralize science research across teams and its implications for the AGI roadmap.
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·2 min
Hands-On with Google's AI Research Tools: Expanding from Biological to Social Sciences
A social science researcher shares hands-on experience with Google's latest AI research tools, analyzing Google's leadership in AI-accelerated science and future multi-disciplinary expansion.
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·4 min
Five Common Misconceptions in AI Agent Development: An Essential Guide Before You Start
Debunking 5 common AI Agent development misconceptions: Agents aren't smarter ChatGPTs, complexity doesn't equal power, and RAG can't cure hallucinations. Learn the right approach to building Agents.
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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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Tutorials·3 min
Agent Tuning: A Complete Guide to Training LLMs with Agent Capabilities
A deep dive into Agent Tuning principles and practices, covering why Agent training is needed, the evolution from Prompt to RAG to Agent, development workflows, and cost assessment for private deployment.
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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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Tech Frontiers·2 min
Siri's New UI Revealed: From Orb to Full-Screen Glow — A Complete Interaction Overhaul
Apple's new Siri UI replaces the classic orb with flowing edge-glow effects and adds text interaction. A deep dive into the design changes, Apple Intelligence integration, and AI assistant competition.
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Deep Dives·4 min
Is Context Engineering the Core of Agent Development? A Deep Dive into Architecture and Practical Solutions
Deep dive into context engineering as the core of Agent development, covering five context modules, four pain points, and dynamic assembly solutions including compression, hybrid retrieval, multi-Agent architecture, and state machine control.
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Tutorials·3 min
Complete Zero-Code Workflow for Cloning YouTube Channels with Claude AI
How to use Claude AI with Google AI Studio, Meta AI, and other free tools to clone a YouTube channel — covering analysis, scripting, voiceover, visual generation, and publishing with risk analysis.
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Tech Frontiers·3 min
OpenAI Codex Goes On-Premises, arXiv Introduces Collective Punishment for AI-Generated Papers
OpenAI partners with Dell to deploy Codex on-premises, arXiv imposes co-author bans for AI-generated papers, LeCun attacks Hinton, Huawei alumni drive embodied AI, Anthropic acquires dev tools company.
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Deep Dives·4 min
AI Agents 101: Core Concepts, Technical Architecture, and How They Work
A beginner's guide to AI Agents: understand core concepts, the perception-decision-action loop, LLM, tool calling, memory systems, and RAG architecture explained from scratch.
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