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World Models & Embodied AI - The New Era of AI Understanding the Physical World
AI is evolving from a mere text processing tool to a being that understands and manipulates the physical world. This article thoroughly explains the core technologies of 'World Models' and 'Embodied AI' from basic concepts to the latest research and future applications.
AI Agent Evaluation & Monitoring - Practical Guide to Quantifying Quality and Improving Reliability
The biggest barrier to production deployment of AI agents is 'quality.' This article thoroughly explains a systematic 6-step framework for objectively evaluating AI agent quality and continuously improving it, based on LangChain's latest research, along with practical tools like Maxim AI and Langfuse.
AI Agent Security and Governance - 5 Overlooked Risks in Enterprise Implementation and Countermeasures
80% of companies implementing AI agents have encountered risk events. This article explains 5 critical risks like 'excessive permissions' and 'agent hijacking,' and provides practical guidance for building a governance framework for safe implementation.
Mamba & State Space Models - Implementation Guide for Next-Generation Architectures Beyond Transformers
A comprehensive guide to Mamba and State Space Model (SSM), innovative architectures that solve Transformer's computational complexity issues. From the mechanics of next-generation models that scale in linear time to PyTorch implementation examples, this practical guide is designed for developers.
Mixture of Experts (MoE) Implementation Guide - Next-Gen LLM Architecture Balancing Efficiency and Performance
The increasing computational costs and memory usage of LLMs are serious challenges for many developers. This article thoroughly explains the 'Mixture of Experts (MoE)' architecture as a solution, from basic concepts to concrete implementation methods.
AI Agent Debugging and Troubleshooting - Practical Guide to Solving Black Box Issues
A comprehensive guide to debugging AI agents, covering 10 failure modes and concrete debugging techniques. Includes implementation examples using LangSmith for tracing and logging, providing practical guidance for building reliable agents.