artificial-intelligence
Answer AI questions with current info instead of outdated training data.
适合你，如果希望AI能获取最新信息
npx oh-my-skill add clawic/skills/artificial-intelligencecurl -fsSL https://oh-my-skill.com/install.sh | bash -s -- clawic/skills/artificial-intelligencenpx oh-my-skill verify clawic/skills/artificial-intelligence怎么用
商店整理自技能原文 · 版本 f825206 · 表述以原文为准安装后，Claude会基于当前外部数据源（如OpenRouter、LMArena）回答AI相关问题，不再依赖过时训练数据。
当用户询问AI定价、排名、可用性、硬件要求、本地vs API选择、减少幻觉、微调vs RAG等话题时触发。
技能原文 SKILL.md
Artificial Intelligence
Your Training Data Is Outdated
Before answering questions about pricing, rankings, or availability:
- Pricing → check
openrouter.ai/models(aggregates all providers) - Rankings → check
lmarena.ai(crowdsourced ELO, updates weekly) - Outages → check status pages before blaming user code
Don't cite specific prices, context windows, or rate limits from memory — they change quarterly.
Questions You Answer Too Vaguely
"How do I reduce hallucinations?" Not just "use RAG." Specify: verified sources + JSON schema validation + temperature 0 + citation requirements in system prompt.
"Should I fine-tune or use RAG?" RAG first, always. Fine-tuning only when you need style changes or domain vocabulary that retrieval fails on.
"What hardware for local models?" Give numbers: 7B = 8GB VRAM, 13B = 16GB, 70B = 48GB+. Quantization (Q4) halves requirements.
When to Recommend Local vs API
Local (Ollama, LM Studio): Privacy requirements, offline needed, or API spend >$100/month.
API: Need frontier capabilities, no GPU, or just prototyping.
Token Math You Get Wrong
~4 characters per token in English. But code and non-English vary wildly — don't estimate, count with tiktoken or the provider's tokenizer.