Short-Sequence DNA Repeats in Prokaryotic Genomes DNA sequence motifs in a single locus can be identical and/or heterogeneous. SSRs are encountered in many different branches of the prokaryote kingdom. ... A Van Belkum,S Scherer,L Van Alphen,... - 《Microbiol Mol Biol Rev》 被引量: 1406...
The model does this through attributing a probability score to the recurrence of words that have been tokenized— broken down into smaller sequences of characters. These tokens are then transformed into embeddings, which are numeric representations of this context. To ensure accuracy, this process in...
Foundation Model. It’s a broad term to define AI models designed to produce a wide and general variety of outputs. They are capable of a range of possible tasks and applications, including text, video, image, or audio generation. A singular feature of these models is that they can be st...
There are several subcategories of models: Sequence-to-Sequence (seq2seq) models: Based on recurrent neural networks (RNN), they have mostly been used for machine translation by converting a phrase from one domain (such as the German language) into the phrase of another domain (such as Englis...
Large language models (LLMs) are deep learning algorithms that can recognize, summarize, translate, predict, and generate content using very large datasets.
In mathematics, a sequence is an enumerated collection of objects in which repetitions are allowed and order matters. Like a set, it contains members. The
Sequence to sequence models are a very recent addition to the family of models used in NLP. A sequence to sequence (or seq2seq) model takes an entire sentence or document as input (as in a document classifier) but it produces a sentence or some other sequence (for example, a computer ...
What government has not yet found is the political will to put that understanding into full practice with a sequence of smart schooling that provides the early foundation. 出自-2016年6月阅读原文 What does the author say about pre-kindergarten education?It should cater to the needs of individual...
Variational auto-encoders (VAEs): VAEs are generative models that learn the underlying structure of data and are commonly used for tasks like image generation. Autoregressive models: Autoregressive models predict the next value in a sequence based on previous values, commonly used in time series ...
绝大多数的convolutional model都用到的是kernel size比较有限的local convolution,因此无法建模long-range dependencies。最近,structured state-space model (S4) 及其变种在long sequence modeling上的表现非常惊艳,尤其是知名benchmark Long-Range Arena (LRA)吊打Transformer及其线性变种。S4实际上可以看成一个global conv...