Choosing the right architecture for a GenAI application involves balancing creativity and risk. The guide offers a framework with eight architectural patterns: generating each time, response/prompt caching, pre-generated templates, small language models, assembled reformat, ML selection of template, fine-tuning, and implementing guardrails. These approaches help manage cost, latency, and risk while meeting specific use case requirements.
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