TheBitCast

AI Coffee Break with Letitia

Autor: AI Coffee Break with Letitia

Lighthearted, bite-sized explainers on the latest technical advances in AI, from large language models and text-to-image models to natural language processing and computer vision.Links:Patreon: https://www.patreon.com/AICoffeeBreakKo-Fi: https://ko-fi.com/aicoffeebreakTwitter / X: https://twitter.com/AICoffeeBreakThreads: https://www.threads.net/@ai.coffee.breakLinkedIn: https://www.linkedin.com/in/letitia-parcalabescu/Reddit: https://www.reddit.com/r/AICoffeeBreak/Website: https://aicoffeebreak.com/Substack: https://aicoffeebreakwl.substack.com/

Odcinki

  1. Genie explained 🧞 Generative Interactive Environments paper explained – AI Coffee Break with Letitia
  2. How OpenAI made o1 "think" – Here is what we think and already know about o1 reinforcement learning – AI Coffee Break with Letitia
  3. The curse of dimensionality. Or is it a blessing? – AI Coffee Break with Letitia
  4. What nobody tells you about MULTIMODAL Machine Learning! 🙊 THE definition. – AI Coffee Break with Letitia
  5. PCA explained with intuition, a little math and code – AI Coffee Break with Letitia
  6. Graph Language Models EXPLAINED in 5 Minutes! [Author explanation 🔴 at ACL 2024] – AI Coffee Break with Letitia
  7. GANs explained | Generative Adversarial Networks video with showcase! – AI Coffee Break with Letitia
  8. Data-efficient Image Transformers EXPLAINED! Facebook AI's DeiT paper – AI Coffee Break with Letitia
  9. GPT2 wrote this 1000 subscribers special! – AI Coffee Break with Letitia
  10. Math Anxiety? and what it has to do with AI – 🔴at #HLF24 with Prof. Yael Tauman Kalai – AI Coffee Break with Letitia
  11. Can language models understand? Bender and Koller argument. – AI Coffee Break with Letitia
  12. REPA Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You ... – AI Coffee Break with Letitia
  13. The ultimate intro to Graph Neural Networks. Maybe. – AI Coffee Break with Letitia
  14. LLM Lecture: A Deep Dive into Transformers, Prompts, and Human Feedback – AI Coffee Break with Letitia
  15. Training large language models to reason in a continuous latent space – COCONUT Paper explained – AI Coffee Break with Letitia
  16. BERTology meets Biology | Solving biological problems with Transformers – AI Coffee Break with Letitia
  17. s1: Simple test-time scaling: Just “wait…” + 1,000 training examples? | PAPER EXPLAINED – AI Coffee Break with Letitia
  18. Adversarial Machine Learning explained! | With examples. – AI Coffee Break with Letitia
  19. 4-Bit Training for Billion-Parameter LLMs? Yes, Really. – AI Coffee Break with Letitia
  20. GPT-3 explained with examples. Possibilities, and implications. – AI Coffee Break with Letitia
  21. Stealing Part of a Production LLM | API protects LLMs no more – AI Coffee Break with Letitia
  22. Token-Efficient Long Video Understanding for Multimodal LLMs | Paper explained – AI Coffee Break with Letitia
  23. Pre-training of BERT-based Transformer architectures explained – language and vision! – AI Coffee Break with Letitia
  24. AlphaEvolve: Using LLMs to solve Scientific and Engineering Challenges | AlphaEvolve explained – AI Coffee Break with Letitia
  25. Transformer combining Vision and Language? ViLBERT - NLP meets Computer Vision – AI Coffee Break with Letitia
  26. GaLore EXPLAINED: Memory-Efficient LLM Training by Gradient Low-Rank Projection – AI Coffee Break with Letitia
  27. Supercharging RAG with Generative Feedback Loops from Weaviate – AI Coffee Break with Letitia
  28. Shapley Values Explained | Interpretability for AI models, even LLMs! – AI Coffee Break with Letitia
  29. OpenAI's DALL-E explained. How GPT-3 creates images from descriptions. – AI Coffee Break with Letitia
  30. [Own work] On Measuring Faithfulness or Self-consistency of Natural Language Explanations – AI Coffee Break with Letitia