#multi-task AI
91 related articles
·4 min
Enterprise AI Agent Development Guide: Multi-Task Recognition and Dynamic Tool Calling in Practice
A deep dive into AI Agent architecture and enterprise deployment. From LangChain and ReAct design to dynamic tool calling and multi-task recognition — build autonomous enterprise AI assistants.
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·2 min
OpenAI Codex Parallel Tasks in Practice: Multi-Task Concurrent Execution Tips and Best Practices
A detailed guide to OpenAI Codex Cloud parallel task execution, covering isolated container principles, concurrent UI component generation demos, merge conflict handling, and maintaining human review in AI programming.
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·3 min
Samsung Z Fold 8 Hands-On: The Compact Foldable Is the Biggest Surprise
Samsung launches Z Fold 8, Z Fold 8 Ultra, and Z Flip 8. The Z Fold 8's passport-style design weighs just 201g with dramatically reduced crease, preemptively countering Apple's rumored foldable iPhone.
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·4 min
What Is the True Nature of Large Language Models? A Super Compressor Analogy to Help You Fully Understand
Large models aren't search engines — they're more like super compressors. This article explains how LLMs compress data to learn semantic patterns, and explores the phenomenon of intelligent emergence.
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·3 min
Kimi K3 Launches on Ollama Cloud: Free Tier, User Experience, and Developer Guide
Kimi K3 officially launches on Ollama Cloud as an "extra high usage" model. This guide covers free tier quotas, cloud inference experience, technical advantages, and how developers can seamlessly call this high-performance LLM.
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·4 min
What Is the True Nature of Large Language Models? A Super Compressor Analogy That Makes Everything Click
LLMs aren't search engines — they're more like super compressors. This article explains how large models compress corpora to learn semantic patterns, and explores the principles and limitations of emergent intelligence.
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·5 min
Getting Started with Codex: Four Product Forms Explained & How to Choose Between Cursor, Claude Code, and Codex
In-depth analysis of OpenAI Codex's four forms (CLI, web, plugin, app), comparing Codex, Claude Code, and Cursor on price, stability, and use cases to help developers choose the right tool.
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·2 min
Ego Lite Review: AI Browser Automation That Won't Steal Your Mouse Focus
Ego Lite is a browser built for AI collaboration. Based on Chromium, it uses login state reuse and isolated Spaces so AI Agents can autonomously handle web operations, form filling, and data scraping—solving the human-machine focus conflict. macOS only.
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·2 min
Ego Lite Review: AI Browser Automation That Won't Steal Your Mouse Focus
Ego Lite is a Chromium-based browser designed for AI collaboration. Through login state reuse and isolated Spaces, AI Agents autonomously handle web tasks, form filling, and data collection—ending the human-machine focus fight. Currently on macOS.
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·3 min
How China's Open-Source LLMs Are Closing In on America's Closed-Source Giants
Kimi, Alibaba Qwen, and DeepSeek leverage MoE architecture, home-field data advantages, and the open-source flywheel to close in on OpenAI and Anthropic at ultra-low cost. A deep dive into China's open-source LLM catch-up.
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·4 min
OpenAI Merges Codex and ChatGPT: Deep Dive into Three New Models + Agent Workflows
OpenAI merges Codex and ChatGPT into a unified platform while launching three new models: SOUL, TERRA, and LUNA. Deep dive into Computer Use, loop workflows, multi-threading, and the Agent Native strategy.
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·3 min
From Word Vectors to Large Language Models: The Complete Evolution of AI 2.0 Technology
From word vectors and embeddings to RNNs, BERT, Transformers, and ChatGPT — a complete guide to the technical evolution of large language models and the AI 2.0 era.
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·3 min
Alibaba's 2.4 Trillion Parameter Qwen Model: Separating Technical Substance from Marketing Hype
Alibaba's Qwen releases a 2.4T parameter MoE model claiming to be 'second only to Gemini 2.5.' We break down what's real—and what's just hype.
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·2 min
Getting Started with LangGraph: Graph Orchestration and State Machines for AI Agents
A comprehensive guide to LangGraph's core concepts: Graph API vs Functional API, three-layer architecture, and workflow visualization methods for building AI Agents.
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pi-web: An Open-Source Web UI Built fo…
·2 min
pi-web: An Open-Source Web UI Built for Coding Agents
pi-web is an open-source TypeScript Web UI for the pi coding agent, offering visual execution flows, interactive intervention, and session management. 1500+ stars on GitHub.
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·4 min
Codex Major Upgrade: GPT-5.6 Powers Full-Stack Development from Idea to Deployment
OpenAI Codex gets a major upgrade with GPT-5.6: extended reasoning, multi-agent parallelism, browser control, one-click Sites deployment, task orchestration, and mobile dev support.
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·2 min
OpenAI Codex Parallel Tasks in Practice: How to Run Multiple AI Coding Tasks Simultaneously
How OpenAI Codex Cloud runs multiple tasks in parallel using isolated containers, async workflows, and PR review. A practical guide to agentic coding efficiency.
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·2 min
OpenAI Codex Micro Review: A Deep Dive into the AI Coding Dedicated Hardware Controller
OpenAI and Work Louder launch the Codex Micro custom control panel with voice input, analog joystick, and programmable keys designed for AI-assisted coding workflows.
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·2 min
LangGraph Multi-Agent Architecture in Practice: From Core Components to Production Deployment
A deep dive into LangGraph multi-agent architecture — covering hierarchical, network, and pipeline patterns with three hands-on projects using LangGraph 0.3.
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·3 min
Vibe Coding: Enterprise-Level Practices and a Skill Progression Guide for AI-Driven Frontend Development
A deep dive into Vibe Coding: how AI-led development workflows are reshaping frontend engineers' value. From interview hot topics to a three-tier competency model for the AI era.
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