Deploying LLMs at enterprise scale requires moving beyond naive prompt engineering into robust system design involving semantic caching, token rate limiting, and automated evaluation harnesses.
How do you prevent hallucinations in enterprise Generative AI?
By anchoring generation with strict RAG retrieval context, temperature tuning, and deterministic output schema validation (Pydantic / Zod).
Deploying LLMs at enterprise scale requires moving beyond naive prompt engineering into robust system design involving semantic caching, token rate limiting, and automated evaluation harnesses.
Architecting high-scale distributed backends, AI pipelines, and cloud native applications.
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