#graph

Trying to understand that compute multiplier graph

Anthropic's IPO roadshow video has a graph. It shows four models; I think dot 1 = Claude 3.5, dot 2 = Claude 4, dot 3 = Mythos, arrowhead = unreleased model. The graph provided doesn't have any numbers on the Y axis. In this post I'll explain why I think the Y axis lines most likely represent a 10x jump each, and so the point at the end of the graph represents about a 30000x CM (i.e. Anthropic can currently pretrain models at the same quality with 1/30000th of the compute it needed in 2024). I'm pretty unsure about this though and it could plausibly be much higher or much lower. Keep in mind t

LessWrong · EN

Show HN: Lantern Lattice – the call graph from your compiler, for coding agents

The call graph from your compiler or type checker, for humans and coding agents - julymetodiev/lantern-lattice

Show HN · EN

Graph RAG: Elevating AI with Dynamic Knowledge Graphs

Introduction In the rapidly evolving landscape of Artificial Intelligence, Retrieval-Augmented Generation (RAG) has emerged as a pivotal technique for enhancing the factual accuracy and relevance of Large Language Models (LLMs). By enabling LLMs to retrieve information from external knowledge bases before generating responses, RAG mitigates common issues such as hallucination

Stack Abuse · EN