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YTC / Transformers

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Stanford CS25： V1 I Audio Research： Transformers for Applications in Audio, Speech, Music [wvE2n8u3drA].mkv

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Stanford CS25： V1 I Decision Transformer： Reinforcement Learning via Sequence Modeling [w4Bw8WYL8Ps].mp4

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Stanford CS25： V1 I DeepMind's Perceiver and Perceiver IO： new data family architecture [wTZ3o36lXoQ].mp4

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Stanford CS25： V1 I Mixture of Experts (MoE) paradigm and the Switch Transformer [U8J32Z3qV8s].mp4

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Stanford CS25： V1 I Self Attention and Non-parametric transformers (NPTs) [zejXBg-2Vpk].mp4

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Stanford CS25： V1 I Transformer Circuits, Induction Heads, In-Context Learning [pC4zRb_5noQ].mp4

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Stanford CS25： V1 I Transformers United： DL Models that have revolutionized NLP, CV, RL [P127jhj-8-Y].mp4

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Stanford CS25： V1 I Transformers in Language： The development of GPT Models, GPT3 [qGkzHFllWDY].mp4

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Stanford CS25： V1 I Transformers in Vision： Tackling problems in Computer Vision [BP5CM0YxbP8].mp4

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Stanford CS25： V2 I Biomedical Transformers [nz7_wg5iOlA].mp4

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Stanford CS25： V2 I Common Sense Reasoning [sTQaJyrI-zg].mp4

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Stanford CS25： V2 I Emergent Abilities and Scaling in LLMs [tVtOevLrt5U].mp4

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Stanford CS25： V2 I Introduction to Transformers w⧸ Andrej Karpathy [XfpMkf4rD6E].mp4

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Stanford CS25： V2 I Language and Human Alignment [DJ1Yy6Aquug].mp4

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Stanford CS25： V2 I Neuroscience-Inspired Artificial Intelligence [L4DC7e6g2iI].mp4

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Stanford CS25： V2 I Represent part-whole hierarchies in a neural network, Geoff Hinton [CYaju6aCMoQ].mp4

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Stanford CS25： V2 I Robotics and Imitation Learning [ct4tdyyNDY4].mp4

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Stanford CS25： V2 I Strategic Games [phWxl0nkgKk].mp4

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Stanford CS25： V3 I Beyond LLMs： Agents, Emergent Abilities, Intermediate-Guided Reasoning, BabyLM [ylEk1TE1uBo].mp4

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Stanford CS25： V3 I Generalist Agents in Open-Ended Worlds [wwQ1LQA3RCU].mp4

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Stanford CS25： V3 I How I Learned to Stop Worrying and Love the Transformer [1GbDTTK3aR4].mp4

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Stanford CS25： V3 I Low-level Embodied Intelligence w⧸ Foundation Models [fz8wf9hN20c].mp4

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Stanford CS25： V3 I No Language Left Behind： Scaling Human-Centered Machine Translation [ckNMsUuLryM].mp4

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Stanford CS25： V3 I Recipe for Training Helpful Chatbots [mcep6W8oB1I].mp4

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Stanford CS25： V3 I Retrieval Augmented Language Models [mE7IDf2SmJg].mp4

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Stanford CS25： V4 I Aligning Open Language Models [AdLgPmcrXwQ].mp4

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Stanford CS25： V4 I Behind the Scenes of LLM Pre-training： StarCoder Use Case [jm2hyJLFfN8].mp4

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Stanford CS25： V4 I Demystifying Mixtral of Experts [RcJ1YXHLv5o].mp4

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Stanford CS25： V4 I From Large Language Models to Large Multimodal Models [cYfKQ6YG9Qo].mp4

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Stanford CS25： V4 I Hyung Won Chung of OpenAI [orDKvo8h71o].mp4

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Stanford CS25： V4 I Jason Wei & Hyung Won Chung of OpenAI [3gb-ZkVRemQ].mp4

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Stanford CS25： V4 I Overview of Transformers [fKMB5UlVY1E].mp4

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Stanford CS25： V4 I Transformers that Transform Well Enough to Support Near-Shallow Architectures [zL9B3eXq0gY].mp4

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Stanford CS25： V5 I Large Language Model Reasoning, Denny Zhou of Google Deepmind [ebnX5Ur1hBk].mp4

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Stanford CS25： V5 I Overview of Transformers [JKbtWimlzAE].mp4

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Stanford CS25： V5 I RL as a Co-Design of Product and Research, Karina Nguyen [gLwiPrwUDJ8].mp4

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Stanford CS25： V5 I The Advent of AGI, Div Garg [nEHNwdrbfGA].mp4

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