AI Engineer 2023 Keynote - Building Blocks for LLM Systems
3.42T1.5 sourceeugeneyan.com (Eugene Yan)
eugeneyan.com (Eugene Yan)original source ↗
Source record
Published by eugeneyan.com (Eugene Yan) (T1.5 source). The original is at https://eugeneyan.com//speaking/ai-eng-summit/.
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The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryEugene Yan's AI Engineer 2023 keynote covering foundational building blocks for LLM systems: evals, retrieval-augmented generation, guardrails, and feedback collection mechanisms.
Why it mattersA practitioner's structured walkthrough of core LLM system components, useful as a reference checklist for teams assembling production AI applications.
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