I found this option and changed it
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f*g
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It seems like you're discussing the architecture of dominant sequence transduction models. The use of complex recurrent or convolutional neural networks in an encoder-decoder configuration, along with attention mechanisms, has indeed been successful in various natural language processing tasks.
The encoder-decoder architecture consists of two main components: an encoder network that processes the input sequence and a decoder network that generates the output sequence. The encoder network encodes the input sequence into a fixed-length representation, often called a context vector or hidden state. This representation captures the salient information of the input sequence.
The decoder network then uses the context vector to generate the output sequence step by step. At each step, the decoder takes into account the context vector and the previously generated tokens to predict the next token in the sequence. This process is repeated until the entire output sequence is generated.
To improve the performance of these models, attention mechanisms were introduced. Attention allows the decoder to focus on different parts of the input sequence while generating each output token. This mechanism helps the model capture long-range dependencies and align relevant information between the input and output sequences.
The attention mechanism calculates attention weights for each position in the input sequence, indicating their importance for generating the current output token. These weights are used to weight the encoder's hidden states, allowing the decoder to attend to different parts of the input sequence dynamically.
By incorporating attention, the model gains the ability to consider the most relevant information from the input sequence at each decoding step, which has proven to be highly effective in various sequence transduction tasks, such as machine translation, text summarization, and speech recognition.
If you have a specific proposal or further details about your approach, I would be happy to provide more insights or discuss it further.
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jones joins teamspeak
"i'm busy"
"i need to work"
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Jones and work LOL
Every tree that does not bear good fruit is cut down and thrown into the fire .
another asoul post where he calmly explains that he has figured everything out and has all the answers
lol!!
describing people being gay bi trans as a āsocial contagionā is fucking disgusting btw
so insecure you have to dunk on imaginary 12 year old girls
You donāt get to say shit like this without thoroughly explaining it and proving it
Literally all available evidence says exactly the fucking opposite btw
People who get gender affirming treatment are OVERWHELMINGLY happier and more productive
sounds like youāre just bitter she wont fuck you, and that anyone who identifies as anything other than a straight white American annoys you
why do you even care about this enough to stew on it and post it here, sooooo weird bro
this guy really hates bisexual people huh
just like his 10th different post where he suggests bisexual people are āmaking it up for attentionā
iād expect that take from a 15 year old with MAGA parents, not a grown ass man
the reason they āformed a group around itā was for mutual protection and to organize to fight for their rights
you think that fight is over? may I suggest you take a gander at Florida? or the leaked Supreme court doc that says they want to repeal gay marriage?
all of these things are happening to trans people as we speak
go ahead and explain how being lgbt is bad for āsociety as a wholeā
iām waiting