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2026-03-25
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LLM 학습 데이터 제작의 모든 것! Hugging Face 데이터셋(종류/로딩/변환), 한국어 데이터 수집(크롤링/합성/번역), 전처리(토크나이징/정제/중복제거), Instruction Tuning 포맷(Alpaca/ShareGPT/OpenAI), 품질 관리, RLHF/DPO 데이터셋.- Published on
개발자 영어/언어 학습의 모든 것! 기술 영어(코드 리뷰/PR/이슈/문서), 효과적인 학습법(스페이스드 리피티션/이머전/섀도잉), 동기부여 전략, 글로벌 기업 취업을 위한 영어 준비, 일본어/중국어 학습 팁.- Published on
LiteLLM의 모든 것! 100+ LLM 통합 API, OpenAI 호환 프록시 서버, 비용 추적/예산 관리, 로드 밸런싱/폴백, 모델 라우팅, 가상 키, 레이트 리밋, Guardrails, 프로덕션 배포(Docker/K8s).- Published on
웹 인증의 모든 것! OAuth 2.0 플로우(Authorization Code/PKCE/Client Credentials), JWT(구조/검증/Refresh Token), 세션 vs 토큰, SSO(SAML/OIDC), Passkey(WebAuthn/FIDO2), 소셜 로그인, 보안 베스트 프랙티스.- Published on
Observability의 모든 것! Three Pillars(로그/메트릭/트레이스), OpenTelemetry, Prometheus+Grafana, ELK Stack, 분산 트레이싱(Jaeger/Tempo), 알림 전략(PagerDuty/OpsGenie), SLO/SLI/SLA, 비용 최적화.- Published on
OpenStack과 KVM 가상화의 모든 것! KVM/QEMU 하이퍼바이저 아키텍처, libvirt 관리, OpenStack 핵심 서비스(Nova/Neutron/Cinder/Keystone/Glance/Heat), 프라이빗 클라우드 구축, 네트워크(OVS/OVN), 스토리지(Ceph), 성능 최적화, vs VMware/Proxmox 비교.- Published on
REST API 설계의 모든 것! 리소스 네이밍, HTTP 메서드 올바른 사용, 상태 코드, 에러 응답 표준, 페이지네이션(Cursor vs Offset), 버저닝(URL vs Header), 인증(OAuth2/JWT/API Key), OpenAPI 3.1, 실전 설계 패턴.- Published on
테스트 전략의 모든 것! 테스트 피라미드(단위/통합/E2E), TDD/BDD, Jest/Vitest(프론트), Pytest/JUnit(백엔드), Playwright/Cypress(E2E), 모킹 전략, 테스트 커버리지, CI 통합, 성능/보안 테스트.- Published on
시스템 디자인 면접의 모든 것! 4단계 프레임워크, 확장성(수평/수직), 로드 밸런싱, 캐싱(Redis/CDN), DB 샤딩, CAP 정리, 메시지 큐, 실전 설계(URL Shortener/Twitter/Netflix/채팅), 면접 팁.- Published on
2025년 가장 뜨거운 IT 트렌드! AI Agent/MCP 혁명, Rust의 부상, WebAssembly 2.0, Edge Computing, Local-first 소프트웨어, 오픈소스 라이선스 논쟁, 개발자 도구 혁신, 스타트업 동향, 빅테크 전략 — 해커뉴스 핫토픽 분석.- Published on
Unsloth로 LLM 파인튜닝의 모든 것! QLoRA/LoRA 원리, 4bit 양자화(bitsandbytes), Unsloth 2x 속도 비밀, Llama 3/Mistral/Qwen 파인튜닝, 데이터 준비, 학습 설정, VRAM 최적화, GGUF/GPTQ 변환, 배포까지.- Published on
실시간 통신의 모든 것! WebSocket 프로토콜, SSE(Server-Sent Events), Socket.IO, 채팅 시스템 구현, 실시간 알림, 협업 에디터(CRDT/OT), Pub/Sub 패턴, 수평 확장(Redis Adapter), 프로덕션 운영.- Published on
WEKA(WekaFS)의 모든 것! 병렬 파일시스템 아키텍처, NVMe 계층화, GPU Direct Storage, AI/ML 워크로드 최적화, 클라우드(AWS/Azure/GCP) 연동, Ceph/Lustre/GPFS 비교, 데이터 파이프라인, 성능 벤치마크.