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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 […]

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Mastering Prompt Engineering: 6 Frameworks That Actually Work

If youโ€™ve ever used Large Language Models (LLMs) and thought, โ€œHmm, this answer isnโ€™t quite what I wantedโ€ฆโ€, youโ€™re not alone. Getting great results from AI often depends on one key thing: how you ask. Thatโ€™s where prompt engineering comes in. Itโ€™s basically the art (and a bit of a science) of writing clear, structured

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