LLM development teams work at the frontier of AI applications.
From prompt engineering and RAG architectures to fine-tuning and evaluation frameworks, LLM work requires managing non-deterministic outputs alongside traditional software engineering. The most effective LLM teams share one trait: they've mastered systematic prompt versioning and evaluation.
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