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Openai/691bd6f8-a5e8-8005-9752-1925a60e6a18
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=== 5) Bottom line (practical difference) === * Old Alexa: mostly modular + many canned replies, improved by supervised learning and careful scripted persona design. Reliable, conservative, engineered. About Amazon<ref>{{cite web|title=About Amazon|url=https://www.aboutamazon.com/news/devices/how-our-scientists-are-making-alexa-smarter|publisher=About Amazon|access-date=2025-11-20}}</ref> * Alexa+: a generative, LLM-powered assistant that synthesizes more flexible, context-rich replies and is trained with modern LLM techniques (SFT, human preference datasets, RLHF-style alignment, RAG). That gives more natural conversations and new capabilities β but requires more cloud processing and new privacy/operational tradeoffs. About Amazon<ref>{{cite web|title=About Amazon|url=https://www.aboutamazon.com/news/devices/new-alexa-generative-artificial-intelligence|publisher=About Amazon|access-date=2025-11-20}}</ref> If you want, I can: * Pull together a visual timeline (years, key tech milestones, citations) or * Break down the typical model training pipeline for Alexa+ step-by-step (data sources β pretrain β SFT β preference tuning β safety filters β deployment). Which would be most useful?
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