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2:36:13ZH
Zhang Xiaojun Podcast· 2025년 2월 24일팟캐스트 · 2명松琳解读 DeepSeek、Kimi 与 MiniMax 的注意力新论文게스트 Songlin Yang(松琳) · 진행자 张小珺从动态稀疏注意力到线性注意力混合架构:三条长上下文路线如何兼顾训练、推理与硬件效率Transformers & attentionGPU programming & kernels모델과 학습+2
슬라이드 4장1:03:21EN
JSJane Street· 2024년 12월 9일Horace He on Building ML Systems for Trillion-Trillion OperationsHorace He · MetaHow GPU bottlenecks, compiler design and distributed parallelism shape the systems behind large-scale model training.GPU programming & kernelsDistributed training & inferenceMachine Learning+2
2:41:47EN
Lex Fridman· 2021년 6월 12일팟캐스트 · 2명Geometry Is the Cilantro of Math게스트 Jordan Ellenberg · 진행자 Lex FridmanJordan Ellenberg tells Lex Fridman that the last 150 years of mathematics have been about one question: when two things count as the same.MathematicsMachine LearningScience Communication+2
1:49:51EN
Lex Fridman· 2020년 6월 27일팟캐스트 · 2명The Idea Once Called a Devolution Now Powers Almost Every New Chip게스트 David Patterson · 진행자 Lex FridmanTuring Award winner David Patterson talks with Lex Fridman about RISC, RAID, Moore's Law, open hardware, and why chips without a software stack die.인프라와 배포Open-source ecosystemsBenchmarks+1
57:30EN
Lex Fridman· 2019년 9월 26일팟캐스트 · 2명400 Spins in a Pocket, and a Universe Too Small to Store Them게스트 Leonard Susskind · 진행자 Lex FridmanLeonard Susskind tells Lex Fridman why quantum computers are not faster laptops, why string theory is a tool rather than a citizenship, and why nobody should claim to have found the bottom of the well.Black HolesConsciousnessPhilosophy of Science+2
1:28:53EN
Lex Fridman팟캐스트 · 2명Machine Learning for Business Students: Powerful, Narrow, and Easier to Fool Than You Think게스트 MIT Sloan · 진행자 Lex FridmanLex Fridman's non-technical MIT Sloan lecture explains how machine learning works, why it is so capable at perception, and where it still breaks in the real world.모델과 학습머신러닝 기초AI Strategy+3
37:00EN
Lex Fridman팟캐스트Inside the YouTube Algorithm: Related Graphs, Satisfaction Surveys and the Viewers Who Are Part of the Code진행자 Lex FridmanYouTube's head of search and discovery, Cristos Goodrow, explains to Lex Fridman how search and recommendations work, which signals matter, and how the team measures whether viewers are better off.모델과 학습Recommendation systemsSearch & retrieval+3