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EU Investigates X Over Grok Deepfakes — Why AI Features Now Need a Safety Stack
TL;DR Ai Safety Stack is mostly about making agent behavior predictable and auditable. Make tools safe: schemas, validation, retries/timeouts, and idempotency. Ground answers with retrieval (RAG) and measure reliability with…
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LLM Evaluation: Stop AI Hallucinations with a Reliability Stack
LLMs are impressive—until they confidently say something wrong. If you’ve built a chatbot, a support assistant, a RAG search experience, or an “agent” that takes actions, you’ve already met the…
