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12추천
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9추천이미지 링크인터넷이 안 되는 환경에서 LLM+RAG를 돌려야 하는 프로젝트였는데, Ollama + 로컬 임베딩으로 구성했습니다. 오프라인 배포에 관심 있으신 분들께 도움이 되길.
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8추천
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7추천
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11추천
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9추천보안 때문에 전부 온프레미스로. bge-m3 + Qwen2.5-14B로 구축했고, 사용자 만족도 4.2/5 나왔어요. 후기 공유합니다.
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8추천금융권 고객사에 설치했습니다. 인터넷 완전 차단 환경에서도 임베딩+검색+생성 전부 동작. 자세한 내용은 글에.
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7추천All data stays on device. Weekly digest with topics, mood, and action items. 400 users in 2 weeks!
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9추천Ticket deflection went from 0% to 38% in a month. Here's the architecture and the mistakes we made.
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11추천L4 한 장으로 Qwen2.5-7B 서빙. 처리량 만족스럽습니다. 양자화 없이도 충분하네요.
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6추천Scrapes 20 sources, dedupes, summarizes, posts at 8am. 1.2k subscribers now. AMA about the pipeline.
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6추천주 1회 LLM 논문 리뷰. 누적 12만 뷰 달성. 글쓰기 + 실험 재현을 병행하니 배우는 게 두 배네요.
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7추천동일 7B 모델로 비교했는데 p50은 비슷하고 p99는 TRT-LLM이 더 안정적이었습니다. 수치 표로 정리했어요.
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8추천Replaced a custom fine-tune with a generic 8B + good retrieval. Cheaper to maintain, better scores. Data point for you.
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4추천링크Worth a read — some genuinely interesting verticals (last-mile routing, predictive maintenance).
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6추천It joins the call with a normal name, takes notes, and posts them to our wiki. People forget it's there until the notes appear. Uses a tiny local model for transcription. The 'is this legal' question came up once. HR said fine, so we're shipping it.
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5추천Visual node editor for agent pipelines with live tracing. MIT licensed, would love feedback.
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5추천매주 토요일 2시간. 30명에서 시작해 지금 12명의 코어 멤버로. 꾸준함의 가치를 배웠습니다.
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6추천Scrapes arXiv + HN, summarizes with an LLM, posts as threads. 200 stars in a week. AMA.
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8추천Our org has 10k pages of policy PDFs nobody reads. Built a RAG bot with citations that links back to the exact page. Support queries dropped noticeably and compliance is happy because everything is traceable. Side project that became the team's favorite tool.
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7추천Collected 3 years of my blog posts and newsletter, fine-tuned a 7B with LoRA. The style imitation is uncanny — my wife thought I wrote the drafts. Uses: first drafts of posts I'm too lazy to start. It's my ghostwriter now.
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4추천Transcribe with Whisper, summarize with a fine-tuned small model, get a 5-bullet recap per episode. My backlog went from 40 episodes of guilt to a nice reading list. The summaries are honest enough that I know which episodes to actually listen to.
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6추천Workshop is loud, dusty, and has no wifi worth trusting. Pi 5 + a local model + a cheap mic array. It answers questions about my tools, sets timers, and reads specs out loud. Everything runs on-device and it cost under $200.
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6추천링크Been dumping notes, highlights, and bookmarks into a local RAG setup for two years. Search is instant and surprisingly good. Open-sourced the whole thing so it's reproducible. Warning: your old notes are more embarrassing than you remember.
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7추천12B model on the family PC, a simple web UI. It explains math problems step by step instead of just giving answers. No accounts, no data leaving the house, and no monthly subscription. The kids actually use it.
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5추천Like this site but for semiconductor news specifically. Scrapes 50 RSS feeds, dedupes with embeddings, summarizes with an LLM, ranks by my reading habits. It's been my morning read for a month and I've never opened the old feed reader again.
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6추천Scrapes my git commits and PRs, summarizes them into 3 bullet points, emails them before standup. Takes 30 seconds of my morning. My manager thinks I'm extremely organized. I'm just lazy with extra steps.
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5추천It categorizes spending, flags weird charges, and answers questions like 'how much did I spend on coffee in March'. Accuracy is 90%+ on categories. Caveat: you have to trust it with your data, so it runs fully local. Worth it for the anxiety reduction alone.