#LLM
5006 related articles
Tutorials·2 min
LangChain LCEL Expression Language Deep Dive: Pipe Operator, RunnableLambda, and Parallel Execution in Practice
Deep dive into LangChain LCEL core concepts: pipe operator internals, RunnableLambda function wrapping, RunnableParallel retrieval, and RunnablePassThrough with complete code examples and RAG practice.
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Tutorials·2 min
LangChain AI Agent in Practice: Complete Tutorial on Streaming Output + Parallel Tool Calling
Learn how to build a production-grade AI Agent chat app with LangChain and FastAPI, covering streaming tokens, asyncio parallel tool calling, SerpAPI async conversion, and structured output.
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Tutorials·2 min
LangChain Streaming Output & Async in Practice: Complete Implementation for Agent Scenarios
Deep dive into LangChain streaming output and async implementation, covering astream usage, custom AsyncQueueCallbackHandler, and Agent streaming executor architecture for production AI apps.
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Tutorials·2 min
Practical Guide to OpenAI Agents SDK Message Types and Conversation History Management
Deep dive into OpenAI Agents SDK's five message types, conversation history management, and common pitfalls including static/dynamic instructions and Function Call pairing.
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Deep Dives·2 min
AI Agent Conversation History Management: From Message Lists to Event-Driven Architecture
Traditional user-assistant alternating chat history can't meet complex AI Agent needs. This article explores modeling Agent interactions as event sequences, revealing Agents as workflow engines.
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Tutorials·2 min
OpenAI Agents SDK Tracing Guide: Zero-Configuration Agent Observability
Learn how to use OpenAI Agents SDK's built-in tracing system for AI Agent observability, covering zero-config auto-tracing, custom trace contexts, and tool call monitoring.
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Product Reviews·2 min
Claude Code Ultra Review Hands-On: Deep Dive into Multi-Agent Code Review
Hands-on deep dive into Claude Code's upcoming Ultra Review: multi-Agent parallel search, independent verification, deduplication workflow, comparison with standard Review, plus custom Fleet Review implementation.
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Tutorials·1 min
Claude Code Agent Teams Practical Guide: 30 Tips for Efficient Collaboration
In-depth analysis of 30 practical tips for Claude Code Agent Teams, covering team formation, task planning, cost control, and file conflict avoidance.
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Product Reviews·2 min
Claude Code Agent Teams Hands-On: Is Multi-AI Collaborative Development Actually Worth It?
Hands-on review of Claude Code Agent Teams multi-agent collaboration: team architecture, real-world performance, token costs, key limitations, and pragmatic recommendations for when to use it.
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Product Reviews·2 min
Glutra: A Multi-Agent Collaborative Desktop App for Building Your AI One-Person Company
Glutra is an open-source multi-agent desktop app for batch creating AI employees, visual workflow orchestration, and real-time monitoring. Cross-platform support for building your AI one-person company.
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Tutorials·2 min
Multi-Agent Applications in Practice: Building AI Multi-Agent Collaborative Workflows from Scratch
A practical guide to building multi-agent collaboration systems, covering assistant creation, skill assignment, group chat mechanisms, and solutions for hallucination in AI workflows.
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Product Reviews·2 min
Full-Stack Delivery with Claude Code: One Person Completing an Enterprise-Level RAG Project
How to use Claude Code to independently deliver an enterprise-level multimodal RAG project, covering frontend/backend strategy, spec docs, and full-pipeline methodology.
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Product Reviews·2 min
PaperClip + Claude Code Multi-Agent Coordinated Development in Practice: Full Workflow Demo of an AI Virtual Team
Hands-on demo of building a multi-Agent development team with PaperClip and Claude Code, featuring Delivery Lead, Frontend/Backend Engineers, QA, and Code Reviewer roles in a full AI-automated development workflow.
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Tutorials·2 min
Vibe Coding Beginner's Guide: Programming with Natural Language — No Experience Required
Vibe Coding lets anyone program using natural language — no coding experience needed. Learn what it is, how it differs from traditional programming, and how to get started with AI tools.
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Deep Dives·2 min
How AI Agents Work: The Four Core Elements and ReAct Loop Decision-Making Mechanism Explained
Deep dive into AI Agent's four core elements (LLM, Tools, Prompts, Executor) and ReAct loop decision mechanism, with a weather query example walkthrough.
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Tutorials·1 min
Multi-Agent Collaborative Medical Consultation System: RAG + Local Deployment Practical Guide
A complete guide to building a multi-agent medical consultation system with RAG knowledge retrieval, local LLM deployment, and multi-agent architecture design.
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Tutorials·1 min
Complete Guide: Build an iOS App with AI from Scratch and Publish It on the App Store
A complete guide on how to develop an iOS app from scratch using AI tools like Cursor and Claude Code, and successfully publish it on Apple's App Store.
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Product Reviews·1 min
GitHub Open Source Week Picks: 5 Practical Open Source Projects to Boost Your Productivity
5 curated GitHub open source projects: Post-its AI social media tool, FreeCAD 3D modeling, GoBlueprint Go scaffolding, Keystone full-stack framework, and HertzBeat monitoring system.
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Tech Frontiers·2 min
Datasette Agent: An Open-Source AI Assistant for Querying Databases with Natural Language
Simon Willison releases Datasette Agent, combining LLM with Datasette to enable natural language database queries, plugin extensions, and local model support for personal data analysis.
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Tech Frontiers·2 min
datasette-agent-sprites: A Deep Dive into the AI Agent Sandbox Execution Plugin
Simon Willison releases datasette-agent-sprites plugin for secure AI Agent command execution in Fly Sprites sandbox. Analysis of its architecture, use cases, and significance.
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