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Scaling Recommender Transformers to a Billion Parameters

Scaling Recommender Transformers to a Billion Parameters
[ad_1] ! My name is Kirill Khrylchenko, and I lead the RecSys R&D team at Yandex. One of our goals ...
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Transformers (and Attention) are Just Fancy Addition Machines

Transformers (and Attention) are Just Fancy Addition Machines
[ad_1] is a relatively new sub-field in AI, focused on understanding how neural networks function by reverse-engineering their internal mechanisms ...
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Your 1M+ Context Window LLM Is Less Powerful Than You Think

Your 1M+ Context Window LLM Is Less Powerful Than You Think
[ad_1] are now able to handle vast inputs — their context windows range between 200K (Claude) and 2M tokens (Gemini 1.5 Pro). ...
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Hands-On Attention Mechanism for Time Series Classification, with Python

Hands-On Attention Mechanism for Time Series Classification, with Python
[ad_1] is a game changer in Machine Learning. In fact, in the recent history of Deep Learning, the idea of ...
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