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I appreciate your excellent work, especially the example https://juliamltools.github.io/shakespeare-gpt
there are some existing implementations of MultiHeadAttention and Transformer: FluxML/Flux.jl#2146 https://github.com/chengchingwen/NeuralAttentionlib.jl https://github.com/chengchingwen/Transformers.jl
can you give a compare with existing implementations ? why you want to implementation this again ?
The text was updated successfully, but these errors were encountered:
Hello! The other version is slow and has an overly complicated interface in my opinion.
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TransformerBlocks.jl is intended to be minimalist and hyper-optimized for performance.
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I appreciate your excellent work, especially the example https://juliamltools.github.io/shakespeare-gpt
there are some existing implementations of MultiHeadAttention and Transformer:
FluxML/Flux.jl#2146
https://github.com/chengchingwen/NeuralAttentionlib.jl
https://github.com/chengchingwen/Transformers.jl
can you give a compare with existing implementations ?
why you want to implementation this again ?
The text was updated successfully, but these errors were encountered: