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找到 963 个相关结果 / 提示词与 LLM
研究学习 / 检索整理
ray-train
ray-train
Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with…
研究学习 / 检索整理
describe-design
describe-design
Research a codebase and create architectural documentation describing how features or systems work. Use when the user asks to: (1) Document how a feature…
研究学习 / 检索整理
bdpan-storage
bdpan-storage
百度网盘文件管理。支持上传、下载、转存、分享、搜索、移动、复制、重命名、创建文件夹。当用户提及"百度网盘""bdpan""网盘"并涉及文件操作时触发。
研究学习 / 检索整理
geo-crawlers
geo-crawlers
AI crawler access analysis. Checks robots.txt, meta tags, and HTTP headers to determine which AI crawlers can access the site. Provides a complete access map…
研究学习 / 检索整理
onboarding
onboarding
Generate or regenerate ONBOARDING.md to help new contributors understand a codebase. Use when the user asks to 'create onboarding docs', 'generate…
研究学习 / 检索整理
hmdb-database
hmdb-database
Access Human Metabolome Database (220K+ metabolites). Search by name/ID/structure, retrieve chemical properties, biomarker data, NMR/MS spectra, pathways, for…
研究学习 / 检索整理
markets
markets
Markets orchestration — connects ESPN live schedules with Kalshi and Polymarket prediction markets. Unified dashboards, odds comparison, entity search, and bet evaluation across platforms. Use when: user wants to see prediction market odds alongside ESPN game schedules, compare odds across platforms, search for a team/player on Kalshi or Polymarket, check for arbitrage between ESPN odds and prediction markets, or evaluate a specific game's market value. Don't use when: user wants raw prediction market data without ESPN context — use polymarket or kalshi directly. For pure odds math (conversion, de-vigging, Kelly) — use betting. For live scores without market data — use the sport-specific skill.
研究学习 / 检索整理
campaign-planning
campaign-planning
Plan marketing campaigns with objectives, audience segmentation, channel strategy, content calendars, and success metrics. Use when launching a campaign,…
研究学习 / 检索整理
e-bookkeeping-compliance
e-bookkeeping-compliance
優良な電子帳簿の要件チェック・コンプライアンス診断を実行する。 「優良な電子帳簿」「電帳法対応」「電子帳簿の要件確認」 「税務調査の準備」「75万円控除の条件」「帳簿の要件を満たしているか」 「e-bookkeeping compliance」で起動。
研究学习 / 检索整理
geo-content
geo-content
Content quality and E-E-A-T assessment for AI citability — evaluate experience, expertise, authoritativeness, trustworthiness, and content structure
研究学习 / 检索整理
cosmic-database
cosmic-database
Access COSMIC cancer mutation database. Query somatic mutations, Cancer Gene Census, mutational signatures, gene fusions, for cancer research and precision…
研究学习 / 检索整理
prompt-guard
prompt-guard
Meta's 86M prompt injection and jailbreak detector. Filters malicious prompts and third-party data for LLM apps. 99%+ TPR, <1% FPR. Fast (<2ms GPU).…
研究学习 / 检索整理
contact-hunter
contact-hunter
Search and extract contact information for people or companies including names, phone numbers, emails, job titles, and LinkedIn profiles. Aggregates data from…
研究学习 / 检索整理
geo-brand-mentions
geo-brand-mentions
Brand mention and authority scanner for AI visibility. Analyzes brand presence across platforms that AI models rely on for entity recognition and citation…
研究学习 / 检索整理
stable-diffusion-image-generation
stable-diffusion-image-generation
State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing…
研究学习 / 检索整理
geo-citability
geo-citability
AI citability scoring and optimization. Analyzes web page content to determine how likely AI systems (ChatGPT, Claude, Perplexity, Gemini) are to cite or quote…
研究学习 / 检索整理
ray-data
ray-data
Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch,…
研究学习 / 检索整理
langchain
langchain
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct…
研究学习 / 检索整理
quantizing-models-bitsandbytes
quantizing-models-bitsandbytes
Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want…
研究学习 / 检索整理
自然语言润色
nature-polishing
使用《Scientific…》中的论文架构与写作策略原则,润色、重构学术文本,或将其翻译为符合《Nature》风格的英文。