Srirammoorthy·Nov 6Understanding the Transformer Architecture: From Embeddings to AttentionThe Transformer architecture is one of the most important developments in modern Artificial Intelligence. It powers many of today’s Large…
theflyingcow·Nov 2Building an SLMThis blog shares a step-by-step guide to build a Small Language Model (SLM), alongside the key concepts you need to master along the way.
Kim, Jace (Jeong Hyeon)·Oct 27Storage Is Not MemoryWhy Long-Term Memory Remains an Open Problem for Large Language Models
InTowards AIbyJAIGANESAN·Oct 21Reflex Drone: I Trained a System 1 (Decision Model) Pilot ‘Arc’ That Flies by Navigating ObstaclesMasked attention over a set of 20 tokens, a beam-search teacher, DAgger and KL-anchored PPO: a 179,847-weight pilot that decides in 0.14 ms
MR ROBOT·Oct 9The Transformerပြီးခဲ့တဲ့အကြောင်းအရာတွေမှာ RNN, LSTM တို့လို model တွေဟာ စကားလုံးတွေကို တစ်လုံးပြီးမှ တစ်လုံး အစဉ်လိုက် (Sequential)…
Sahasra Annam·Oct 4Transformer Architecture Explained: The Technology That Helps AI Understand ContextHave you ever wondered how ChatGPT understands your questions, writes stories, explains difficult concepts, or even helps you write code?
Diane Khambu·Sep 30Decoding “Attention Is All You Need” PaperThe paper “Attention Is All You Need”, published in June 2017, has taken the world by storm. I first read it in 2024 with very limited…
Hardik Sheth·Sep 28Transformer ≠ LLM: A Distinction Every AI Engineer Should UnderstandTransformer ≠ LLM: A Distinction Every AI Engineer Should UnderstandA response icon1A response icon1
Albert | Edge Intelligence Lab·Sep 27From CNNs to State Space Models: Evolution of a Reconfigurable Edge-AI Accelerator StackA Literature-, Patent-, and Toolchain-Based Study of Kneron NPUs
Altan "Atabarezz" Atabarut·Sep 26AI Is Predicting. But Predicting What?From neural networks to generated images, five animations explain what gets learned, what changes, and what you should actually test…
