Blog AI (11)
Claude Cowork: Automation
Cowork으로 만드는 나만의 자동화 루틴
Building My Personal Automation Routine with Cowork
I've always struggled with the same two problems. My disk fills up silently until something breaks. And my mornings start scattered — no clear picture of what's happening in AI, what I need to study, or what's on …
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Building AI Agents
AI Agent 구현해보기
Building Agentic Flows: A Hands-On Project Plan
I've been putting together a plan to build and teach a series of hands-on Agentic Flow projects — covering AI Agents, Agentic Flows, and Multi-Agent systems. Eight tiered projects, each one progressively more complex, designed to work both …
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[AI] Generative AI Models
Choosing the Right AI Model for Generative AI Applications
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Understanding LLM & RAG
LLM과 RAG 완벽 이해 [정확도 향상의 핵심 전략]
Understanding LLM & RAG [Reliable AI]
LLM과 RAG 완벽 이해 [정확도 향상의 핵심 전략]
Take-home message: RAG strategies are essential to enhance the accuracy and trustworthiness of LLMs.
1. What is an LLM?
A Large Language Model (LLM) is …
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RAG (Retrieval-Augmented Gen)
RAG Overview [Boosting LLM Accuracy]
What is RAG (Retrieval-Augmented Generation)?
RAG is an architecture that combines information retrieval with large language models (LLMs) to improve the accuracy, trustworthiness, and relevance of generated outputs. The key takeaway is: RAG enhances LLMs by grounding their responses in real data sources, solving hallucination …
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