/explore
|
You are here 
|
vkrakovna.wordpress.com | ||
| | | | |
amatria.in
|
|
| | | | | 2024 has been an intense year for AI. While some argue that we haven't made much progress, I beg to differ. It is true that many of the research advances from 2023 have still not made it to mainstream applications. But, that doesn't mean that research is not making progress all around! | |
| | | | |
www.greaterwrong.com
|
|
| | | | | Find all Alignment Newsletter resources here. In particular, you can sign up, or look through this spreadsheet of all summaries that have ever been in the newsletter. I'm always happy to hear feedback; you can send it to me by replying to this email. Audio version here (may not be up yet). Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model (Julian Schrittwieser et al) (summarized by Nicholas): Up until now, model-free RL approaches have been state of the art at visually rich domains such as Atari, while model-based RL has excelled for games which require planning many steps ahead, such as Go, chess, and shogi. This paper attains state of the art performance on Atari using a model-based approach, MuZero, while matching AlphaZero (AN #36) at... | |
| | | | |
www.alignmentforum.org
|
|
| | | | | Update: The original title "DeepMind alignment team's strategy" was poorly chosen. Some readers seem to have interpreted the previous title as meanin... | |
| | | | |
blog.adnansiddiqi.me
|
|
| | | Learn the basics of Large Language Models (LLMs) in this introduction to GenAI series. Discover how LLMs work, their architecture, and practical applications like customer support, content creation, and software development. | ||
