ATLAS AI Architecture by Google

๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ ๐—ท๐˜‚๐˜€๐˜ ๐—ถ๐—ป๐˜๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐—ฒ๐—ฑ ๐—ฎ ๐—ป๐—ฒ๐˜„ ๐—”๐—œ ๐—ฎ๐—ฟ๐—ฐ๐—ต๐—ถ๐˜๐—ฒ๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ ๐—ฐ๐—ฎ๐—น๐—น๐—ฒ๐—ฑ ๐—”๐—ง๐—Ÿ๐—”๐—ฆ, ๐—ฎ๐—ป๐—ฑ ๐—ถ๐˜โ€™๐˜€ ๐—ฎ ๐—ฝ๐—ฟ๐—ฒ๐˜๐˜๐˜† ๐—ฒ๐˜…๐—ฐ๐—ถ๐˜๐—ถ๐—ป๐—ด ๐—น๐—ฒ๐—ฎ๐—ฝ ๐—ณ๐—ผ๐—ฟ๐˜„๐—ฎ๐—ฟ๐—ฑ.

Instead of just making models bigger (like weโ€™ve seen with Transformers), ๐—”๐—ง๐—Ÿ๐—”๐—ฆ focuses on using memory more efficiently. Itโ€™s built around the ๐—ข๐—บ๐—ฒ๐—ด๐—ฎ rule, which helps the model understand context better without needing tons of extra memory.

It also uses an optimiser called ๐— ๐˜‚๐—ผ๐—ป that updates memory more precisely, kind of like giving the model a smarter way to learn and adapt.

What I really like is how it handles memory using advanced techniques to store more meaningful info without actually increasing the size. Itโ€™s like having a smaller bag that somehow holds everything you need (think Hermioneโ€™s handbag in Harry Potter ๐Ÿ˜… ).

And instead of using fixed attention like older models, it uses a more flexible, learnable system. That means it can work better with large and complex data.

๐—ฌ๐—ผ๐˜‚ ๐—ฐ๐—ฎ๐—ป ๐—ฒ๐˜…๐—ฝ๐—น๐—ผ๐—ฟ๐—ฒ ๐—บ๐—ผ๐—ฟ๐—ฒ ๐—ฎ๐—ฏ๐—ผ๐˜‚๐˜ ๐˜๐—ต๐—ถ๐˜€ ๐—ฎ๐—ฟ๐—ฐ๐—ต๐—ถ๐˜๐—ฒ๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ ๐—ณ๐—ผ๐—ฟ ๐—ด๐—ผ๐—ผ๐—ด๐—น๐—ฒ ๐—ฟ๐—ฒ๐˜€๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต ๐˜๐—ฒ๐—ฎ๐—บ ๐—ถ๐—ป ๐˜๐—ต๐—ฒ ๐—ฏ๐—ฒ๐—น๐—ผ๐˜„ ๐—น๐—ถ๐—ป๐—ธ:

https://arxiv.org/abs/2505.23735

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