domain-LLM

Domain: LLM (194)

multimodal (56)

• anthropic-says-claude-doesnt-make-you-more-efficient-but-it- — anthropic-says-claude-doesnt-make-you-more-efficient-but-it-
• 너무나-명문이어서-번역-503970 — 너무나-명문이어서-번역-503970
• if-you-want-to-learn-llms-better-than-anyone-else-implement — if-you-want-to-learn-llms-better-than-anyone-else-implement
• new-paper-do-you-know-that-changing-a-visual-marker-from — new-paper-do-you-know-that-changing-a-visual-marker-from
• synthetic-data-neural-network-has-been-trained — synthetic-data-neural-network-has-been-trained
• 국내-ai-최고수들을-어쩌다보니-주변에서-자주-만나게-되는데-그들이-하나같이-보는-곳ᄋ — 국내-ai-최고수들을-어쩌다보니-주변에서-자주-만나게-되는데-그들이-하나같이-보는-곳ᄋ
• unite-unified-semantic-transformer-for-3d-scene-understandin — unite-unified-semantic-transformer-for-3d-scene-understandin
• 바이브-코딩-하실-분들을-위한-작은-조언-chatgpt52-클로드-제미나이3 — 바이브-코딩-하실-분들을-위한-작은-조언-chatgpt52-클로드-제미나이3
• 8개월간-5개의-llm에-14억원씩-맡겨-주식-거래를-시뮬레이션한-실험---gpt-5-claude-gemin — 8개월간-5개의-llm에-14억원씩-맡겨-주식-거래를-시뮬레이션한-실험---gpt-5-claude-gemin
• show-gn-나의-궁극적-인생-멘토---바이브-코딩으로-프로덕션급이-가능할까-1주일-실험-겨 — show-gn-나의-궁극적-인생-멘토---바이브-코딩으로-프로덕션급이-가능할까-1주일-실험-겨
• gemini-30-pro를-사용해-맞춤형-어플-만들기-도구에서-canvas-기능을-누른다-모델은-3-pro- — gemini-30-pro를-사용해-맞춤형-어플-만들기-도구에서-canvas-기능을-누른다-모델은-3-pro-
• iamemily2050-this-girl-is-simply-a-prompt-genius-absolutely- — iamemily2050-this-girl-is-simply-a-prompt-genius-absolutely-
• stock-trading-backtesting-system-using-large-language-models — stock-trading-backtesting-system-using-large-language-models
• how-to-make-chatgpt-tell-the-truth — how-to-make-chatgpt-tell-the-truth
• how-to-get-chatgpt-to-stop-agreeing-with-everything-you-say — how-to-get-chatgpt-to-stop-agreeing-with-everything-you-say
• thrilled-to-share-our-work-iggt-instance-grounded-geometry — thrilled-to-share-our-work-iggt-instance-grounded-geometry
• generate-music-from-text-prompts-locally — generate-music-from-text-prompts-locally
• turn-messy-pdfs-into-clean-llm-ready-data-dolphin — turn-messy-pdfs-into-clean-llm-ready-data-dolphin
• llm챗봇을-이용-영어논문-작성하는데-아직-문장-작성이-익숙하지-않은-학부새 — llm챗봇을-이용-영어논문-작성하는데-아직-문장-작성이-익숙하지-않은-학부새
• next-to-qwen3-of-comparable-size-looks-like-gpt-oss-is-a-wide-vs-deep-model-h — next-to-qwen3-of-comparable-size-looks-like-gpt-oss-is-a-wide-vs-deep-model-h
• this-prompt-literally-makes-chatgpt-write-like-a-human — this-prompt-literally-makes-chatgpt-write-like-a-human
• chatgpt를-쓰면-우리-뇌는-게을러질까-답은-yes-sat식-에세이를-챗지피티-구글-brain-only네이밍-웃ᄀ — chatgpt를-쓰면-우리-뇌는-게을러질까-답은-yes-sat식-에세이를-챗지피티-구글-brain-only네이밍-웃ᄀ
• ufm-a-simple-path-towards-unified-dense-correspondence-with-flow-tldr-end-to-end — ufm-a-simple-path-towards-unified-dense-correspondence-with-flow-tldr-end-to-end
• llm으로-몇-달간-코딩한-후-다시-내-두뇌를-쓰기로-했어요-고성능-llm을-활용하여-인프라 — llm으로-몇-달간-코딩한-후-다시-내-두뇌를-쓰기로-했어요-고성능-llm을-활용하여-인프라
• scenescript-reconstructing-scenes-with-an-autoregressive — scenescript-reconstructing-scenes-with-an-autoregressive
• can-mllms-understand-scenes-from-multiple-camera-viewpoints — can-mllms-understand-scenes-from-multiple-camera-viewpoints
• theres-literally-a-free-200-page-book-that-breaks-down — theres-literally-a-free-200-page-book-that-breaks-down
• how-to-do-financial-data-analysis-using-chatgpt — how-to-do-financial-data-analysis-using-chatgpt
• 9-years-to-become-a-doctor-but-6594-a-month-is-possible-with-chatgpt-in-19-minut — 9-years-to-become-a-doctor-but-6594-a-month-is-possible-with-chatgpt-in-19-minut
• chatgpt-4o-is-a-genius-marketer-i-turned-it-into-my-personal-marketing-assistant — chatgpt-4o-is-a-genius-marketer-i-turned-it-into-my-personal-marketing-assistant
• i-dont-understand-why-people-dont-use-chatgpt-4o-for-stock-trading-here-are-10-p — i-dont-understand-why-people-dont-use-chatgpt-4o-for-stock-trading-here-are-10-p
• you-can-select-lines-in-xcode-and-chatgpt-can-now-focus-on-those-lines-and-file — you-can-select-lines-in-xcode-and-chatgpt-can-now-focus-on-those-lines-and-file
• if-you-are-having-a-hard-time-visualizing-all-the-layers-and-matrix-operations-i — if-you-are-having-a-hard-time-visualizing-all-the-layers-and-matrix-operations-i
• get-a-peek-into-some-surprisingly-accurate-3d-scenes-generated-via-the-scene-lan — get-a-peek-into-some-surprisingly-accurate-3d-scenes-generated-via-the-scene-lan
• the-llama-32-1b-and-3b-models-are-my-favorite-llms-small-but-very-capable-if-you — the-llama-32-1b-and-3b-models-are-my-favorite-llms-small-but-very-capable-if-you
• the-llama-32-1b-and-3b-models-are-my-favorite-llms----small-but-very-capable-if — the-llama-32-1b-and-3b-models-are-my-favorite-llms----small-but-very-capable-if
• looking-for-what-to-check-out-while-at-eccv2024-here-are-4-projects-14-gti — looking-for-what-to-check-out-while-at-eccv2024-here-are-4-projects-14-gti
• meta-prompt-of-anthropicai-for-enhancing-claude-prompts-is-now-publicly — meta-prompt-of-anthropicai-for-enhancing-claude-prompts-is-now-publicly
• meta-prompt-of-for-enhancing-claude-prompts-is-now-publicly-available-link-in-co — meta-prompt-of-for-enhancing-claude-prompts-is-now-publicly-available-link-in-co
• multimodal-llms-are-just-superb-to-play-with-hacking-around-with-qwen2-vl-and — multimodal-llms-are-just-superb-to-play-with-hacking-around-with-qwen2-vl-and
• how-large-language-models-generate-text — how-large-language-models-generate-text
• how-large-language-models-generate-text-1 — how-large-language-models-generate-text-1
• gpt-4o-is-a-genius-stock-trader-however-99-of-investors-are-unaware-of-this-this — gpt-4o-is-a-genius-stock-trader-however-99-of-investors-are-unaware-of-this-this
• gpt-4o-is-a-genius-stock-trader-however-99-of-investors-are-unaware-of-this — gpt-4o-is-a-genius-stock-trader-however-99-of-investors-are-unaware-of-this
• can-one-transformer-based-policy-fly-drones-manipulate-objects-walk-and-drive-sh — can-one-transformer-based-policy-fly-drones-manipulate-objects-walk-and-drive-sh
• can-one-transformer-based-policy-fly-drones-manipulate-objects-walk-and-drive — can-one-transformer-based-policy-fly-drones-manipulate-objects-walk-and-drive
• learning-a-low-level-vision-generalist-via-visual-task-prompt-𝐏𝐫𝐨𝐣-𝐀𝐛𝐬-train-a-l — learning-a-low-level-vision-generalist-via-visual-task-prompt-𝐏𝐫𝐨𝐣-𝐀𝐛𝐬-train-a-l
• learning-a-low-level-vision-generalist-via-visual-task-prompt-𝐏𝐫𝐨𝐣-𝐀𝐛𝐬-train-a — learning-a-low-level-vision-generalist-via-visual-task-prompt-𝐏𝐫𝐨𝐣-𝐀𝐛𝐬-train-a
• can-llm-understand-and-reason-explicit-object-coordinates-introducing-pixelllm-w — can-llm-understand-and-reason-explicit-object-coordinates-introducing-pixelllm-w
• llava-grounding-grounded-visual-chat-with-large-multimodal-models-paper-page-wit — llava-grounding-grounded-visual-chat-with-large-multimodal-models-paper-page-wit
• show-gn-arxiv-gpt---전세계-논문을-ai가-자동으로-한글-번역-요약-분석-qna를-한방에-arxiv-gpt-전세계- — show-gn-arxiv-gpt---전세계-논문을-ai가-자동으로-한글-번역-요약-분석-qna를-한방에-arxiv-gpt-전세계-
• 요즘들어-부쩍-영어공부를-더-열심히-해야겠다는-생각을-하고-있었는데-생각ᄒ — 요즘들어 부쩍 영어공부를 더 열심히 해야겠다는 생각을 하고 있었는데, 생각해보니 가장 많은 시간을 할애하는 claude와의 대화에서 영어를 사용해야 겠다고 생각이들어 claude hooks로 입력 문장을 더 나은 영
• anthropic-says-claude-doesnt-make-you-more-efficient-but-it-does-make-you-stupid — Anthropic says Claude doesn’t make you more efficient, but it does make you stupider.
• 너무나-명문이어서-번역 — 너무나 명문이어서 번역
• 개발하는-shopify-ceo-tobi가-만든-로컬-기반-문서-검색-도구-qmd — 개발하는 Shopify CEO tobi가 만든 로컬 기반 문서 검색 도구 qmd
• 개발자-친구들아-llm-때문에-과흥분-상태가-될-땐-수학-공부와-숙제를-하는-것이-최ᄀ — 개발자 친구들아 LLM 때문에 과흥분 상태가 될 땐 수학 공부와 숙제를 하는 것이 최고임. 아 이거 진짜 맛있는데 한 번씩 잡솨봐..

agents (39)

• fluid---인프라를-위한-claude-code-240118 — fluid---인프라를-위한-claude-code-240118
• 에이전트-팀-기능-이거-혁신-그자체입니다-419897 — 에이전트-팀-기능-이거-혁신-그자체입니다-419897
• 요즘들어-부쩍-영어공부를-더-열심히-해야겠다는-생각을-하고-있었는데-생각 2 — 요즘들어-부쩍-영어공부를-더-열심히-해야겠다는-생각을-하고-있었는데-생각 2
• claude-code-워크플로우-최적화-가이드-아티클을-쓰신-분이-작년에-해커톤에서-우승한-경험 — claude-code-워크플로우-최적화-가이드-아티클을-쓰신-분이-작년에-해커톤에서-우승한-경험
• 앤트로픽-해커톤-우승자가-공개한-클로드-코드-설정-자료들입니다-제미나이가-요약ᄒ — 앤트로픽-해커톤-우승자가-공개한-클로드-코드-설정-자료들입니다-제미나이가-요약ᄒ
• introducing-reverse-claude-code-where-claude-tells-you-what — introducing-reverse-claude-code-where-claude-tells-you-what
• heres-the-code-training-journal-and-model-this-is-an — heres-the-code-training-journal-and-model-this-is-an
• claude-code-is-having-its-cursor-moment-after-karpathy — claude-code-is-having-its-cursor-moment-after-karpathy
• uc-berkeley-offers-two-free-courses-on-llm-agents-one-at — uc-berkeley-offers-two-free-courses-on-llm-agents-one-at
• these-5-types-of-bots-are-printing-50k-200k-monthly-on — these-5-types-of-bots-are-printing-50k-200k-monthly-on
• 사고보다-빠른-ai-속도가-유발하는-개발자의-바이브-코딩-피로감-분석 — 사고보다-빠른-ai-속도가-유발하는-개발자의-바이브-코딩-피로감-분석
• i-trained-overfit-1hr-their-small-indoors-agent-with-the-off — i-trained-overfit-1hr-their-small-indoors-agent-with-the-off
• multi-agent-llms-for-high-frequency-trading — multi-agent-llms-for-high-frequency-trading
• kimi-deep-research-keeps-getting-better-ive-been-tuning-it-w — kimi-deep-research-keeps-getting-better-ive-been-tuning-it-w
• this-claude-code-prompt-literally-turns-claude-code-into-ult — this-claude-code-prompt-literally-turns-claude-code-into-ult
• 1959480011691589708 — DeepCode - All-in-One Agentic Coding Framework
• 1959414096589422619 — How FAANG Engineers Vibe Code
• 1956796606918865069 — GPT-5 Coding Cheat Sheet from OpenAI
• 1956623374672601405 — Open Source Desktop Automation AI Agent
• 1956020709982945339 — Multimodal Agent with Long-Term Memory
• 1954344705183134056 — Claude Code로 좋은 결과 얻기
• claude-code로-좋은-결과-얻기 — claude-code로-좋은-결과-얻기
• 1952273717418926245 — Anthropic 17 New Videos - AI Agents, Claude Code Best Practices
• wtf-anthropic-dumped-17-new-videos-8-hours-worth-of-content-and-some-of-them-a — wtf-anthropic-dumped-17-new-videos-8-hours-worth-of-content-and-some-of-them-a
• 1951561045610557486 — LLM을 24/7 Research Agent로 만드는 Mega Prompt
• 1951552813760389324 — The Prompt to Master Prompt Engineering
• rip-perplexity — rip-perplexity
• openai-google-and-anthropic-just-dropped-the-guides-on---prompt-engineering---bu — openai-google-and-anthropic-just-dropped-the-guides-on---prompt-engineering---bu
• heres-the-easiest-way-to-build-an-mcp-server-1-use — heres-the-easiest-way-to-build-an-mcp-server-1-use
• scrape-the-web-agentically-with-firecrawl-and-langgraph-internet-research-is-gre — scrape-the-web-agentically-with-firecrawl-and-langgraph-internet-research-is-gre
• agentic-rag-for-stock-trading-if-you-want-a-fun-weekend-project-around-agentic — agentic-rag-for-stock-trading-if-you-want-a-fun-weekend-project-around-agentic
• lets-build-an-llm-agent-in-python-step-by-step — lets-build-an-llm-agent-in-python-step-by-step
• 앤트로픽에서-클로드-코드-베스트프랙티스-아티클을-올렸군영 — 앤트로픽에서 클로드 코드 베스트프랙티스 아티클을 올렸군영.
• claude-code-성능-저하-추적용-일일-벤치마크 — Claude Code 성능 저하 추적용 일일 벤치마크
• introducing-agentic-vision-with-gemini-3 — Introducing Agentic Vision with Gemini 3! 👀🔥
• fluid---인프라를-위한-claude-code — Fluid - 인프라를 위한 Claude Code
• 바이브코딩-무적의-프롬프트-공개 — 바이브코딩 무적의 프롬프트 공개
• 디자이너가-claude-code를-사용하는-법-유튜브 — 디자이너가 Claude Code를 사용하는 법 [유튜브]
• add-this-paragraph-to-the-httpstcocgo09sihd0-file-to-turn-claude-code-into-claud — Add this paragraph to the https://t.co/CGO09Sihd0 file to turn Claude Code into Claude Teacher. Every project is a lesso

AR (16)

• claude-cowork-활용-방식이야-개인마다-입맛에-맞게-anthropic에서-제안한-usecases — claude-cowork-활용-방식이야-개인마다-입맛에-맞게-anthropic에서-제안한-usecases
• deepseek-v32-has-a-very-complex-figure-in-the-paper-to-expla — deepseek-v32-has-a-very-complex-figure-in-the-paper-to-expla
• restyling-games-is-much-harder-than-generating-a-video — restyling-games-is-much-harder-than-generating-a-video
• you-can-make-rag-apps-10x-smarter-with-this-sota-method-coli — you-can-make-rag-apps-10x-smarter-with-this-sota-method-coli
• use-these-chatgpt-prompts-to-save-hours — use-these-chatgpt-prompts-to-save-hours
• someone-on-reddit-just-dropped-the-perfect-chatgpt-prompt-fo — someone-on-reddit-just-dropped-the-perfect-chatgpt-prompt-fo
• roadmap-to-senior-aiml-engineer — roadmap-to-senior-aiml-engineer
• wait-so-alibaba-qwen-has-just-released-another-model-qwen3-coder-is-simply-one — wait-so-alibaba-qwen-has-just-released-another-model-qwen3-coder-is-simply-one
• cameras-as-relative-positional-encoding-tldr-study-absolute-raymap-and-relative — cameras-as-relative-positional-encoding-tldr-study-absolute-raymap-and-relative
• 300명-사용자를-위한-자체-호스팅-llm-서버-구축이-가능할까요---reddit-rollama-서브레딧에-올라온-ᄌ — 300명-사용자를-위한-자체-호스팅-llm-서버-구축이-가능할까요---reddit-rollama-서브레딧에-올라온-ᄌ
• llm-시대의-글쓰기---최근-llm을-이용한-글쓰기가-늘어나면서-자연스럽지-않은-글쓰기-패 — llm-시대의-글쓰기---최근-llm을-이용한-글쓰기가-늘어나면서-자연스럽지-않은-글쓰기-패
• serve-1000s-of-llms-on-a-single-gpu-lorax-by-predibase-allows-users-to-serve — serve-1000s-of-llms-on-a-single-gpu-lorax-by-predibase-allows-users-to-serve
• it-is-insane-how-underrated-these-blogs-are-man-made-an-interative — it-is-insane-how-underrated-these-blogs-are-man-made-an-interative
• how-novel-is-your-research-meet-knovo-an-llm-tool-to-measure-research-novelty — how-novel-is-your-research-meet-knovo-an-llm-tool-to-measure-research-novelty
• theres-a-lot-of-work-now-on-llm-watermarking-but-can-we-extend-this-to — theres-a-lot-of-work-now-on-llm-watermarking-but-can-we-extend-this-to
• i-love-web-clipper-it-is-underrated-af-hf-model—qwen3-gt-markdown-file-with — i-love-web-clipper-it-is-underrated-af-hf-model—qwen3-gt-markdown-file-with

RAG (10)

• rag-ai-db-이-조합-정말-물건이네요-요즘-이-조합-덕분에-개발이-너무-편해졌습니다-예전ᄋ — rag-ai-db-이-조합-정말-물건이네요-요즘-이-조합-덕분에-개발이-너무-편해졌습니다-예전ᄋ
• 장편소설을-llm으로-작성하는-것은-상당히-어렵다-이것은-현재-우리가-주로-사용ᄒ — 장편소설을-llm으로-작성하는-것은-상당히-어렵다-이것은-현재-우리가-주로-사용ᄒ
• 로컬-rag를-구축하고-싶으신가요---skald는-데이터를-제3자에게-전송하지-않고-완전히-자체- — 로컬-rag를-구축하고-싶으신가요---skald는-데이터를-제3자에게-전송하지-않고-완전히-자체-
• 5백만-건-이상의-문서를-처리하며-얻은-production-rag-경험---8개월간-rag검색-증강-생성 — 5백만-건-이상의-문서를-처리하며-얻은-production-rag-경험---8개월간-rag검색-증강-생성
• 1961069820020961358 — AI Engineering Book Resources - Chip Huyen’s Reference Collection
• for-a-collection-of-advanced-retrieval-augmented-generation-rag-techniques-this — for-a-collection-of-advanced-retrieval-augmented-generation-rag-techniques-this
• llm-basics-binary-quantization-a-thread-1n-the-concept-itself-isnt-new-but-whats — llm-basics-binary-quantization-a-thread-1n-the-concept-itself-isnt-new-but-whats
• llm-basics---binary-quantization-a-thread---1n-the-concept-itself-isnt-new-but — llm-basics---binary-quantization-a-thread---1n-the-concept-itself-isnt-new-but
• introduce-differential-transformer-v2-diff-v2-an-improved-version-of-differentia — Introduce Differential Transformer V2 (DIFF V2), an improved version of Differential Transformer. This revision focuses
• releasing-vitok-v2-open-source-vit-auto-encoder-codebase-pretrained-weights — Releasing ViTok-v2: open-source ViT auto-encoder codebase + pretrained weights

inference (9)

• openclaw-local-머신-설치-주의점에-대해서-공식-문서를-통해-알려드립니다-330807 — openclaw-local-머신-설치-주의점에-대해서-공식-문서를-통해-알려드립니다-330807
• dont-just-import-pytorch-build-it-harvards-tinytorch-is — dont-just-import-pytorch-build-it-harvards-tinytorch-is
• turn-complex-docs-into-clean-llm-ready-data-every-ai-company — turn-complex-docs-into-clean-llm-ready-data-every-ai-company
• llm-inference-engine-using-c-and-cuda-from-scratch-without-libraries-https — llm-inference-engine-using-c-and-cuda-from-scratch-without-libraries-https
• gpt-oss-120b를-nvidia-gpu에서-초당-500-토큰-속도로-실행하는-법 — gpt-oss-120b를-nvidia-gpu에서-초당-500-토큰-속도로-실행하는-법
• cool-new-experimental-project-built-with-mlx-swift — cool-new-experimental-project-built-with-mlx-swift
• great-read-understanding-llms-a-comprehensive-overview-from-training-to-inferenc — great-read-understanding-llms-a-comprehensive-overview-from-training-to-inferenc
• llama-32-1b-in-4-bit-runs-at-60-tokssec-with-mlx-swift-on-my-iphone-15-pro-its — llama-32-1b-in-4-bit-runs-at-60-tokssec-with-mlx-swift-on-my-iphone-15-pro-its
• llama-32-1b-in-4-bit-runs-at-60-tokssec-with-mlx-swift-on-my-iphone-15-pro-its-q — llama-32-1b-in-4-bit-runs-at-60-tokssec-with-mlx-swift-on-my-iphone-15-pro-its-q

visionos (8)

• one-of-the-best-course-to-dive-deep-in-transformers — one-of-the-best-course-to-dive-deep-in-transformers
• mixture-of-experts-moe-is-a-popular-llm-architecture-that — mixture-of-experts-moe-is-a-popular-llm-architecture-that
• must-read-how-to-build-an-llm-inference-engine-using-c-and — must-read-how-to-build-an-llm-inference-engine-using-c-and
• confused-about-the-difference-between-mcp-and-function — confused-about-the-difference-between-mcp-and-function
• omni-rgpt-has-been-accepted-to-cvpr-2025 — omni-rgpt-has-been-accepted-to-cvpr-2025
• brain-rot-alert — brain-rot-alert
• a-beautiful-work-dropped-on-arxiv — a-beautiful-work-dropped-on-arxiv
• mlx-visionos-on-device-llm-chat-apposs-on-avp-1-clone-the-repo-2-change-the — mlx-visionos-on-device-llm-chat-apposs-on-avp-1-clone-the-repo-2-change-the

prompt-engineering (7)

• 본업이-소프트웨어-엔지니어-겸-pm이다-보니-ai를-어떻게-잘-쓰느냐가-요즘-가장-큰-화두이 — 본업이-소프트웨어-엔지니어-겸-pm이다-보니-ai를-어떻게-잘-쓰느냐가-요즘-가장-큰-화두이
• codexbar-0140-is-out-supports-antigravity-and-fixes-various — codexbar-0140-is-out-supports-antigravity-and-fixes-various
• 오-재미있는-프로젝트-해커뉴스-스레드에서-gemini-3가-10년-후-프론트페이지를-환각으로-생서 — 오-재미있는-프로젝트-해커뉴스-스레드에서-gemini-3가-10년-후-프론트페이지를-환각으로-생서
• 나노-바나나는-정교한-프롬프트-엔지니어링으로-미세한-ai-이미지-생성이-가능함-nano-bananaᄂ — 나노-바나나는-정교한-프롬프트-엔지니어링으로-미세한-ai-이미지-생성이-가능함-nano-bananaᄂ
• claude에서-제공하는-40가지-use-cases-연구-글쓰기-코딩-분석-일상-작업-등에서-혼자-작업하ᄃ — claude에서-제공하는-40가지-use-cases-연구-글쓰기-코딩-분석-일상-작업-등에서-혼자-작업하ᄃ
• i-genuinely-think-were-on-the-cusp-of-a-new-type-of-creation — i-genuinely-think-were-on-the-cusp-of-a-new-type-of-creation
• the-prompt-to-master-prompt-engineering — the-prompt-to-master-prompt-engineering

code-gen (6)

• openclaw가-주요-ai-연구소라면-절대-하지-않을-일을-해냈습니다-kimi-k25와-kimi-codin-537752 — openclaw가-주요-ai-연구소라면-절대-하지-않을-일을-해냈습니다-kimi-k25와-kimi-codin-537752
• i-built-a-bot-that-reads-the-news-before-you-wake-up-then — i-built-a-bot-that-reads-the-news-before-you-wake-up-then
• gpt-5-coding-cheat-sheet — gpt-5-coding-cheat-sheet
• cameras-as-relative-positional-encoding — cameras-as-relative-positional-encoding
• the-transformers-decoder-clearly-explained — the-transformers-decoder-clearly-explained
• the-transformers-encoder-clearly-explained — the-transformers-encoder-clearly-explained

career (5)

• ai가-사람을-인터뷰한다고요-내-취향-anthropic-interviewer-anthropic이-정말-재미있 — ai가-사람을-인터뷰한다고요-내-취향-anthropic-interviewer-anthropic이-정말-재미있
• 논문쓸-때-난-일케-함-1-자료-찾아오라고-시킬-때-전략-wiki에서-절대-가져오지-마라-없으ᄆ — 논문쓸-때-난-일케-함-1-자료-찾아오라고-시킬-때-전략-wiki에서-절대-가져오지-마라-없으ᄆ
• 1959804165724557470 — LLM으로 영어 논문 작성하기 - 학부생 가이드
• 1952240582249603455 — Senior AI/ML Engineer Roadmap with LLMs and MLOps
• 1951875894202806706 — Mathematics for Machine Learning Free Tutorial - Imperial College

reasoning (5)

• 인공지능을-배우려고-시간을-낭비하지-마세요-제가-이미-다-해-드렸어요-단-하나의-목로 — 인공지능을-배우려고-시간을-낭비하지-마세요-제가-이미-다-해-드렸어요-단-하나의-목로
• this-guy-literally-put-in-1000-hours-of-prompt-engineering-t — this-guy-literally-put-in-1000-hours-of-prompt-engineering-t
• holy-shitmeta-just-rewrote-how-transformers-think-they — holy-shitmeta-just-rewrote-how-transformers-think-they
• chatgpt-makes-you-write-like-a-pro — chatgpt-makes-you-write-like-a-pro
• i-seriously-cannot-believe-this-is-a-06b-llm-alibaba_qwen — i-seriously-cannot-believe-this-is-a-06b-llm-alibaba_qwen

training (4)

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• new-cool-paper-on-vggt-for-noisy-image-sets-no-training-simp — new-cool-paper-on-vggt-for-noisy-image-sets-no-training-simp
• the-perfect-weekend-article-just-dropped-by-on-gpt-oss-architectures — the-perfect-weekend-article-just-dropped-by-on-gpt-oss-architectures
• can-transformers-be-used-to-learn-object-centric-representations-yes-if-we-inver — can-transformers-be-used-to-learn-object-centric-representations-yes-if-we-inver

VR (4)

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• introducing-gemini-3-pro-for-understanding-research-papers-h — introducing-gemini-3-pro-for-understanding-research-papers-h
• can-3d-scene-graphs-act-as-effective-online-memory-for-solving-eqa-tasks-inreal — can-3d-scene-graphs-act-as-effective-online-memory-for-solving-eqa-tasks-inreal
• i-can-setup-3d-aframevr-scenes-with-my-hands-no-vr-or-ar-headset-needed-just — i-can-setup-3d-aframevr-scenes-with-my-hands-no-vr-or-ar-headset-needed-just

fine-tuning (4)

• advice-for-ai-engineers-a-small-visual-language-model-fine — advice-for-ai-engineers-a-small-visual-language-model-fine
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• 1954237350512619868 — GPT-OSS Architecture Evolution - RoPE, SwiGLU, MoE, GQA
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infra (4)

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• youre-in-an-ml-engineer-interview-at-google-interviewer-we-n — youre-in-an-ml-engineer-interview-at-google-interviewer-we-n
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API (4)

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• today-on-this-full-moon-were-launching-fullmoonapp-on-the-app-store-its-the — today-on-this-full-moon-were-launching-fullmoonapp-on-the-app-store-its-the
• dont-copy-and-paste-answers-from-chatgpt-instead-use-this-ai-tool-to-humanize-yo — dont-copy-and-paste-answers-from-chatgpt-instead-use-this-ai-tool-to-humanize-yo
• understanding-einsum-for-deep-learning-implement-a-transformer-with-multi-head-s — understanding-einsum-for-deep-learning-implement-a-transformer-with-multi-head-s

reconstruction (2)

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MR (2)

• pretty-cool-hack-to-blend-between-different-video-feeds-to-g — pretty-cool-hack-to-blend-between-different-video-feeds-to-g
• pretty-fun-paper-finetuning-llama-to-produce-blender-code-for-synthetic — pretty-fun-paper-finetuning-llama-to-produce-blender-code-for-synthetic

spatial-computing (2)

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• sam4d-segment-anything-in-camera-and-lidar-streams-sam4d-introduces-a-4d — sam4d-segment-anything-in-camera-and-lidar-streams-sam4d-introduces-a-4d

automation (2)

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3d-gen (2)

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workflow (1)

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web-graphics (1)

• gemini-3-just-one-shotted-this-portal-windows-app-it-maps-a- — gemini-3-just-one-shotted-this-portal-windows-app-it-maps-a-

SLAM (1)

• clip-is-the-default-choice-for-most-multimodal-llm-research-but-we-know-clip-is — clip-is-the-default-choice-for-most-multimodal-llm-research-but-we-know-clip-is