The Alignment Problem and Shoggoth Meme
First in the series about understanding AI misalignment. Meme are getting real
Deep dives into technical topics, tutorials, and explorations in software engineering and machine learning.
First in the series about understanding AI misalignment. Meme are getting real
Exploring Dr. Zero's framework where LLM agents bootstrap their own training data through self-play, enabling continuous improvement without human annotation.
A deep dive into Titans and MIRAS architectures that enable LLMs to memorize and adapt at inference time using neural memory modules.
A comprehensive guide to extending LLM context windows through position encodings, efficient attention, and memory augmented architectures.
From sparse patterns to linear attention and state space models exploring the zoo of efficient attention mechanisms that go beyond vanilla transformers.