Yannic Kilcher

TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters (Paper Explained) 28:23
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters (Paper Explained) Yannic Kilcher 16,169 54 года назад
Safety Alignment Should be Made More Than Just a Few Tokens Deep (Paper Explained) 48:53
Safety Alignment Should be Made More Than Just a Few Tokens Deep (Paper Explained) Yannic Kilcher 8,459 11 дней назад
Were RNNs All We Needed? (Paper Explained) 27:48
Were RNNs All We Needed? (Paper Explained) Yannic Kilcher 53,477 2 месяца назад
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models 37:06
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models Yannic Kilcher 18,077 2 месяца назад
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters (Paper) 53:02
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters (Paper) Yannic Kilcher 23,178 2 месяца назад
Scalable MatMul-free Language Modeling (Paper Explained) 49:45
Scalable MatMul-free Language Modeling (Paper Explained) Yannic Kilcher 33,087 5 месяцев назад
Privacy Backdoors: Stealing Data with Corrupted Pretrained Models (Paper Explained) 01:03:56
Privacy Backdoors: Stealing Data with Corrupted Pretrained Models (Paper Explained) Yannic Kilcher 17,220 4 месяца назад
Grokking: Generalization beyond Overfitting on small algorithmic datasets (Paper Explained) 29:47
Grokking: Generalization beyond Overfitting on small algorithmic datasets (Paper Explained) Yannic Kilcher 74,877 3 года назад
Yannic Kilcher Interview (Part 1) 57:14
Yannic Kilcher Interview (Part 1) Machine Learning Street Talk 13,430 1 год назад
Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools (Paper Explained) 01:11:58
Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools (Paper Explained) Yannic Kilcher 38,463 5 месяцев назад
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Paper Explained) 29:56
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Paper Explained) Yannic Kilcher 350,298 4 года назад
Mamba: Linear-Time Sequence Modeling with Selective State Spaces (Paper Explained) 40:40
Mamba: Linear-Time Sequence Modeling with Selective State Spaces (Paper Explained) Yannic Kilcher 148,529 11 месяцев назад
Flow Matching for Generative Modeling (Paper Explained) 56:16
Flow Matching for Generative Modeling (Paper Explained) Yannic Kilcher 57,940 8 месяцев назад
Attention Is All You Need 27:07
Attention Is All You Need Yannic Kilcher 658,886 7 лет назад
OpenAI CLIP: ConnectingText and Images (Paper Explained) 48:07
OpenAI CLIP: ConnectingText and Images (Paper Explained) Yannic Kilcher 139,028 3 года назад
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention 37:17
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention Yannic Kilcher 56,052 7 месяцев назад
JEPA - A Path Towards Autonomous Machine Intelligence (Paper Explained) 59:38
JEPA - A Path Towards Autonomous Machine Intelligence (Paper Explained) Yannic Kilcher 68,025 2 года назад
No, Anthropic's Claude 3 is NOT sentient 15:12
No, Anthropic's Claude 3 is NOT sentient Yannic Kilcher 43,699 9 месяцев назад
AI made this music video | What happens when OpenAI's CLIP meets BigGAN? 13:53
AI made this music video | What happens when OpenAI's CLIP meets BigGAN? Yannic Kilcher 124,375 3 года назад
Hopfield Networks is All You Need (Paper Explained) 01:05:16
Hopfield Networks is All You Need (Paper Explained) Yannic Kilcher 100,381 4 года назад

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