✳flâneur — a map of the web's best reading

Chess-GPT’s Internal World Model | Adam Karvonen

adamkarvonen.github.io · 3,539 words · saved by 1 readers

A Chess-GPT Linear Emergent World Representation

A Chess-GPT Linear Emergent World Representation Introduction Note: This work has since been turned into a paper accepted to the Conference on Language Modeling , but the average reader will probably prefer the blog post. There is also a second blog post, Manipulating Chess-GPT’s World model . Among the many recent developments in ML, there were two I found interesting and wanted to dig into further. The first was gpt-3.5-turbo-instruct ’s ability to play chess at 1800 Elo . The fact that an LLM could learn to play chess well from random text scraped off the internet seemed almost magical. The

Explore this link on the map →

saved by

related reading