Unraveling Transformers
Thomas delves into the essence of transformers, highlighting their ability to process positional inputs without regard to order. He emphasizes the importance of attention and combinations in understanding data structures, shedding light on the power of out-of-order operators in creating effective approximations.In this clip
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Machine Learning Street Talk (MLST)
#69 DR. THOMAS LUX - Interpolation of Sparse High-Dimensional Data
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