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슬라이드 5장34:11EN
GOTO Conferences· 2026년 10월 23일Anatoliy Bilenko and Alberto Carretero: Making Database Protocols Reliable with Formal Methods and AIAnatoliy Bilenko, Alberto Carretero · CanonicalCanonical’s database engineers connect executable specifications, model-based tests, failure exploration, and reconstructed execution histories—and explain why none of these techniques proves a real system correct on its own.개발 워크플로와 테스트Code review & verification관측 가능성과 안정성+2
38:13EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 8월 31일팟캐스트 · 2명ChatGPT Runs on His Framework. He Still Doesn't Want You Training a Model진행자 Sarah Guo, Elad GilVercel founder Guillermo Rauch tells No Priors why frontend is the last mile of AI, why first-generation AI frameworks will be rewritten, and why bots are already stealing your tokens.인프라와 배포개발 워크플로와 테스트관측 가능성과 안정성+3
43:45EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 8월 3일팟캐스트 · 2명Eight Years of No Growth, Then OpenAI and NVIDIA Became His Customers진행자 Sarah Guo, Elad GilWeights & Biases CEO Lukas Biewald tells No Priors how a labeling company with no chasm to cross funded the ML developer tools that trained most of the large language models.평가와 관측 가능성관측 가능성과 안정성개발 워크플로와 테스트+3
44:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 6월 15일팟캐스트 · 2명AI Will Write Ten Times More Code. Someone Still Has to Keep It Running.진행자 Sarah Guo, Elad GilDatadog co-founder Olivier Pomel on why faster generation moves value from writing software to understanding, securing, and operating it.평가와 관측 가능성관측 가능성과 안정성Developer productivity+3