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Implement per-user token budgets, tiered model access, request queuing, cost attribution, real-time dashboards, and anomaly detection to prevent AI bill shock.
Build recommendation systems using embeddings, two-tower models, and solve cold start with hybrid approaches.
Comprehensive guide to red teaming LLMs including jailbreak testing, prompt injection, bias testing, adversarial robustness, and privacy attacks.
Build research agents that search the web, score source credibility, deduplicate results, follow up on findings, and generate well-cited reports.
Learn to build production-grade text-to-SQL systems with schema-aware prompting, multi-shot examples, query validation, SQL injection prevention, and iterative refinement for complex database operations.