AI Coffee Break with Letitia

Episodes

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  Transformer LLMs are Turing Complete after all !? 27.10.2026 36m
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  How OpenAI made o1 "think" – Here is what we think and already know about o1 reinforcement learning 27.10.2026 13m
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  The curse of dimensionality. Or is it a blessing? 27.10.2026 8m
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  What nobody tells you about MULTIMODAL Machine Learning! 🙊 THE definition. 27.10.2026 14m
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  PCA explained with intuition, a little math and code 27.10.2026 12m
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  Graph Language Models EXPLAINED in 5 Minutes! [Author explanation 🔴 at ACL 2024] 27.10.2026 9m
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  GANs explained | Generative Adversarial Networks video with showcase! 27.10.2026 16m
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  GPT2 wrote this 1000 subscribers special! 27.10.2026 7m
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  Math Anxiety? and what it has to do with AI – 🔴at #HLF24 with Prof. Yael Tauman Kalai 27.10.2026 11m
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  Can language models understand? Bender and Koller argument. 27.10.2026 17m
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  REPA Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You ... 27.10.2026 9m
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  The ultimate intro to Graph Neural Networks. Maybe. 27.10.2026 12m
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  LLM Lecture: A Deep Dive into Transformers, Prompts, and Human Feedback 27.10.2026 1h 38m
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  Training large language models to reason in a continuous latent space – COCONUT Paper explained 27.10.2026 13m
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  BERTology meets Biology | Solving biological problems with Transformers 27.10.2026 12m
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  s1: Simple test-time scaling: Just “wait…” + 1,000 training examples? | PAPER EXPLAINED 27.10.2026 8m
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  Adversarial Machine Learning explained! | With examples. 27.10.2026 14m
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  4-Bit Training for Billion-Parameter LLMs? Yes, Really. 27.10.2026 21m
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  GPT-3 explained with examples. Possibilities, and implications. 27.10.2026 16m
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  Token-Efficient Long Video Understanding for Multimodal LLMs | Paper explained 27.10.2026 13m