Blog AI & HCI
[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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[AIxDev] My Vibe Coding Exp.
나의 바이브 코딩 경험: ChatGPT 기반 MBTI 테스트 웹 개발
My Vibe Coding Journey [AI x Dev]
What is Vibe Coding?
Vibe Coding refers to a new way of software development that relies on natural language prompts and generative AI—like ChatGPT—to speed up coding tasks and make development …
!doctype> Personal ChatGPTRead more →
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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AI Agents [Beyond Chatbots]
AI Agent 는 ChatBot이랑 어떻게 다를까?
AI Agents, Moving Beyond Traditional Chatbots
AI agents go beyond traditional chatbots by performing autonomous decision-making and task execution. With the rise of frameworks like GPT-4o, AutoGen, and LangGraph, AI agents are becoming real-world tools in development, customer service, and data analysis.
Why AI Agents, …
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