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Teacher forcing is an algorithm for training the weights of recurrent neural networks (RNNs). [1] It involves feeding observed sequence values (i.e. ground-truth samples) back into the RNN after each step, thus forcing the RNN to stay close to the ground-truth sequence.
The paper introduced a new deep learning architecture known as the transformer, based on the attention mechanism proposed in 2014 by Bahdanau et al. [4] It is considered a foundational [5] paper in modern artificial intelligence, as the transformer approach has become the main architecture of large language models like those based on GPT.
The first known instances of parallel syntax can be traced back to Aristotle in his book Rhetoric. [11] Aristotle underlines the fact that it is very useful in persuasion to pair multiple sentences, each with very similar clauses and phrases to the point that they are equal or nearly equal in syllable count; Aristotle perfected this art by creating various examples to be cited in a very ...
Shannon's diagram of a general communications system, showing the process by which a message sent becomes the message received (possibly corrupted by noise). seq2seq is an approach to machine translation (or more generally, sequence transduction) with roots in information theory, where communication is understood as an encode-transmit-decode process, and machine translation can be studied as a ...
Another approach is to create a syntactically-well-formed, easily parsable sentence using nonsense words; a famous such example is "The gostak distims the doshes". Lewis Carroll 's Jabberwocky is also famous for using this technique, although in this case for literary purposes; similar sentences used in neuroscience experiments are called ...
Embedding vectors created using the Word2vec algorithm have some advantages compared to earlier algorithms [1] such as those using n-grams and latent semantic analysis. GloVe was developed by a team at Stanford specifically as a competitor, and the original paper noted multiple improvements of GloVe over word2vec. [ 9 ]
In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]
To produce this film he used a technique that involved cutting stickers of the type used to reinforce the holes in 3-ring binder paper. These were applied to 16 mm movie film and used like a stencil. Layers of vaseline and paint were used to color each frame in this manner. The effect is hypnotic, psychedelic and is something like a visual music.