Zeliha Ilgın Güven·1h agoAttention, and Why Transformers Are ExpensiveFrom Scratch to Scale · Part 1A response icon1A response icon1
Arun Jagota·15h agoMixture-of-Expert Large Language ModelsImagine a bi-lingual document. some of it written in English, some in French.
Anuj Aneja·22h agoTransformers Explained: Attention, Self-Attention and Why Long Contexts Behave StrangelyAttention is a budget that sums to 1: what self-attention, causal masks and positional encodings explain about long-context failures in LLM…
Raymond D Field·1d agoAn encoder-decoder transformer from scratch, part 1 — PerlI have read many articles and attended many courses on how the basic building blocks of AI are actually built. All of them focus on the…
Abhisake Jain·1d agoAttention Is All You Need? Here’s the Whole Idea in One SentenceEvery modern AI chatbot is built on this one trick. It is easier than it sounds.
Ashish Pandey·2d agoThinking Deeper vs. Thinking Longer: How LLM Reasoning Actually WorksHave you ever noticed that some AI models answer your questions almost instantly, while others take several seconds before giving you a…
Shyam Prasad·2d agoWhat’s Actually Behind the Text Box: How Large Language Models Really WorkA deep dive into pre-training, fine-tuning, and reinforcement learning the pipeline that turns raw internet text into something that can…
Lia·4d agoUnderstanding How a Causal Transformer Works: From Tokens to Distributed Training and XLAHello, I’m Lia.
Kübra Kırtekin·4d agoAttention Is All You Need: The Self-Attention Revolution in AI and an Analysis of the ArchitectureI have shared my Medium article, a technical review of the end of the RNN and CNN era, the transformer architecture, its mathematical…
Piyas De·4d agoFrom Mathematics to ChatGPT-Like Generation: Vectors, Matrices, Probability, Attention and…For the last several weeks, we have been studying mathematical ideas that appear inside Generative AI. All the links to the ariticles are…
