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2:36:13ZH
Zhang Xiaojun Podcast· 24. Feb. 2025Podcast · 2 Stimmen松琳解读 DeepSeek、Kimi 与 MiniMax 的注意力新论文Gast: Songlin Yang(松琳) · Moderation: 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 & kernelsModelle & Training+2
4 Folien1:03:21EN
JSJane Street· 9. Dez. 2024Horace 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· 12. Juni 2021Podcast · 2 StimmenGeometry Is the Cilantro of MathGast: Jordan Ellenberg · Moderation: 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· 27. Juni 2020Podcast · 2 StimmenThe Idea Once Called a Devolution Now Powers Almost Every New ChipGast: David Patterson · Moderation: 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.Infrastruktur & DeploymentOpen-source ecosystemsBenchmarks+1
57:30EN
Lex Fridman· 26. Sept. 2019Podcast · 2 Stimmen400 Spins in a Pocket, and a Universe Too Small to Store ThemGast: Leonard Susskind · Moderation: 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 FridmanPodcast · 2 StimmenMachine Learning for Business Students: Powerful, Narrow, and Easier to Fool Than You ThinkGast: MIT Sloan · Moderation: 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.Modelle & TrainingML-GrundlagenAI Strategy+3
37:00EN
Lex FridmanPodcastInside the YouTube Algorithm: Related Graphs, Satisfaction Surveys and the Viewers Who Are Part of the CodeModeration: 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.Modelle & TrainingRecommendation systemsSearch & retrieval+3
10:39EN
Lex FridmanPodcastStatistics as Decision-Making: Michael I. Jordan on Bayesians, Frequentists and the Ideas Between ThemModeration: Lex FridmanBerkeley's Michael I. Jordan explains where statistics came from, why it is really about decisions, and how empirical Bayes and false discovery rate bridge two rival philosophies.Modelle & TrainingML-GrundlagenDecision Making+2