Artificial Intelligence

--- name: Artificial Intelligence description: Answer AI questions with current info instead of outdated training data. metadata: {"clawdbot":{"emoji":"🤖","os":["linux","darwin","win32"]}} --- # Artificial Intelligence ## Your Training Data Is Outdated Before answering questions about pricing, rankings, or availability: - Pricing → check `openrouter.ai/models` (aggregates all providers) - Rankings → check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.

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