其他
3,534 个结果
- Lark Okrlarksuiteé£ä¹¦ OKRï¼ç®¡çç®æ ä¸å ³é®ç»æãæ¥çåç¼è¾ OKR 卿ãç®æ ï¼Objectiveï¼ãå ³é®ç»æï¼Key Resultï¼ã对é½å ³ç³»ãéåææ åè¿å±è®°å½ãå½ç¨æ·éè¦æ¥çæå建 OKRã管çç®æ åå ³é®ç»æãæ¥ç对é½å ³ç³»æ¶ä½¿ç¨ã
- Lark Sharedlarksuiteé£ä¹¦/Lark CLI å ±äº«åºç¡ï¼åºç¨é ç½®åå§åã认è¯ç»å½ï¼auth loginï¼ãèº«ä»½åæ¢ï¼--as user/botï¼ãæéä¸ scope 管çãPermission denied é误å¤çãå®å ¨è§åãå½ç¨æ·éè¦ç¬¬ä¸æ¬¡é ç½®(`lark-cli config init`)ã使ç¨ç»å½ææ(`lark-cli auth login`)ãéå°æéä¸è¶³ã忢 user/bot 身份ãé ç½® scopeãæé¦æ¬¡ä½¿ç¨ lark-cli æ¶è§¦åã
- Lark Sheetslarksuiteé£ä¹¦çµåè¡¨æ ¼ï¼å建åæä½çµåè¡¨æ ¼ãæ¯æåå»ºè¡¨æ ¼ãå建/å¤å¶/å é¤/æ´æ°å·¥ä½è¡¨ã读ååå æ ¼ã追å è¡æ°æ®ãæ¥æ¾å 容ãå¯¼åºæä»¶ãå½ç¨æ·éè¦å建çµåè¡¨æ ¼ã管çå·¥ä½è¡¨ãæ¹éè¯»åæ°æ®ãå¨å·²ç¥è¡¨æ ¼ä¸æ¥æ¾å 容ãå¯¼åºæä¸è½½è¡¨æ ¼æ¶ä½¿ç¨ãè¥ç¨æ·æ¯æ³æåç§°æå ³é®è¯æç´¢äºç©ºé´éç表æ…
- Lark SuiteLark Technologies Pte. Ltd.飞书/Lark 聚合能力入口:管理飞书/Lark 产品能力(<!-- LARK_SUITE_KEYS -->等)。当 doubao.com 及其子域名承载飞书资源时也使用本入口,不要回退到 WebFetch。当用户需求涉及上述飞书业务域时使用。
- Lark Wikilarksuiteé£ä¹¦ç¥è¯åºï¼ç®¡çç¥è¯ç©ºé´ãç©ºé´æååææ¡£èç¹ãåå»ºåæ¥è¯¢ç¥è¯ç©ºé´ãæ¥çå管çç©ºé´æåã管çèç¹å±çº§ç»æãå¨ç¥è¯åºä¸ç»ç»ææ¡£åå¿«æ·æ¹å¼ãå½ç¨æ·éè¦å¨ç¥è¯åºä¸æ¥æ¾æåå»ºææ¡£ãæµè§ç¥è¯ç©ºé´ç»æãæ¥çæç®¡çç©ºé´æåãç§»å¨æå¤å¶èç¹æ¶ä½¿ç¨ã
- Storyboard Breakerchatfire-AI分镜拆解专业规范 — 将剧本拆分为可承载多个子镜头的分镜段落
- Rationalize Depsquickwit-ossAnalyze Cargo.toml dependencies and attempt to remove unused features to reduce compile times and binary size
- Obsidian MarkdownagricidanielExplain, draft, or validate Obsidian Flavored Markdown syntax: properties, wikilinks, embeds, callouts, tags, comments, highlights, block references, math, and Mermaid. Use when the user explicitly requests Obsidian note formatting or syntax help, not for general Markdown or broad vault operations.
- Wiki IngestagricidanielIngest supplied source material into an Obsidian vault with provenance and claim tracking: pasted text, files staged in the selected vault's inbox or .raw archive, or explicitly approved URLs. Use for a single source or bounded batch, not for saving an assistant answer.
- Ai Sdk 5prowler-cloudVercel AI SDK 5 patterns. Trigger: When building AI features with AI SDK v5 (chat, streaming, tools/function calling, UIMessage parts), including migration from v4.
- Zod 4prowler-cloudZod 4 schema validation patterns. Trigger: When creating or updating Zod v4 schemas for validation/parsing (forms, request payloads, adapters), including v3 -> v4 migration patterns.
- Zustand 5prowler-cloudZustand 5 state management patterns. Trigger: When implementing client-side state with Zustand (stores, selectors, persist middleware, slices).
- Creative CorewaooAIApply shared creative fact boundaries, scope control, duration discipline, and delivery checks.
- Creative Thinking For ResearchOrchestra ResearchApplies cognitive science frameworks for creative thinking to CS and AI research ideation. Use when seeking genuinely novel research directions by leveraging combinatorial creativity, analogical reasoning, constraint manipulation, and other empirically grounded creative strategies.
- Evaluating Cosmos PolicyOrchestra ResearchEvaluates NVIDIA Cosmos Policy on LIBERO and RoboCasa simulation environments. Use when setting up cosmos-policy for robot manipulation evaluation, running headless GPU evaluations with EGL rendering, or profiling inference latency on cluster or local GPU machines.
- Nemo GuardrailszechenzhangAGINVIDIA's runtime safety framework for LLM applications. Features: jailbreak detection, input/output validation, fact-checking, hallucination detection, PII filtering, toxicity detection. Uses Colang 2.0 DSL for programmable rails. Production-ready, runs on T4 GPU.
- Nnsight Remote InterpretabilityzechenzhangAGIProvides guidance for interpreting and manipulating neural network internals using nnsight with optional NDIF remote execution. Use when needing to run interpretability experiments on massive models (70B+) without local GPU resources, or when working with any PyTorch architecture.
- Peft Fine TuningzechenzhangAGIParameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.
- Pytorch Fsdp2Orchestra ResearchAdds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models exceed single-GPU memory or when you need DTensor-based sharding with DeviceMesh.
- UnslothzechenzhangAGIExpert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
- Shader DevMiniMax-AIComprehensive GLSL shader techniques for creating stunning visual effects â ray marching, SDF modeling, fluid simulation, particle systems, procedural generation, lighting, post-processing, and more.
- Cancel RalphcursorCancel an active Ralph Loop. Use when the user wants to stop, cancel, or abort a running ralph loop.
- Check Compiler ErrorscursorRun compile and type-check commands and report failures
- Create Learning PathcursorBuild a personalized learning roadmap with milestones and practice checkpoints