Information om | Engelska ordet PRE-TRAINED

Exempel på hur man kan använda PRE-TRAINED i en mening

• To overcome this problem, Schmidhuber (1991) proposed a hierarchy of recurrent neural networks (RNNs) pre-trained one level at a time by self-supervised learning.
• Several approaches have attempted to automate CSKB construction, most notably, via text mining (WebChild, Quasimodo, TransOMCS, Ascent), as well as harvesting these directly from pre-trained language models (AutoTOMIC).
• Coupling multimodal data of landmark stains along with a pre-trained protein language model, the Prediction of Unseen Proteins' Subcellular Localization (PUPS) model is capable of generative subcellular localization prediction of any protein in any cell line given the protein's amino acid sequence and reference stains of the cell line.
• The one-way encryption algorithm is typically achieved using a pre-trained convolutional neural network (CNN), which takes a vector of arbitrary real-valued scores and squashes it to a 4kB vector of values between zero and one that sum to one.
• In multi-level hierarchy of networks (Schmidhuber, 1992), pre-trained one level at a time through unsupervised learning, fine-tuned through backpropagation.
• However, since using large language models (LLMs) such as BERT pre-trained on large amounts of monolingual data as a starting point for learning other tasks has proven very successful in wider NLP, this paradigm is also becoming more prevalent in NMT.
• It includes pre-trained pipelines with tokenization, lemmatization, part-of-speech tagging, and named entity recognition that exist for more than thirteen languages; word embeddings including GloVe, ELMo, BERT, ALBERT, XLNet, Small BERT, and ELECTRA; sentence embeddings including Universal Sentence Embeddings (USE) and Language Agnostic BERT Sentence Embeddings (LaBSE).
• On June 11, 2018, OpenAI researchers and engineers published a paper introducing the first generative pre-trained transformer (GPT)a type of generative large language model that is pre-trained with an enormous and diverse text corpus in datasets, followed by discriminative fine-tuning to focus on a specific task.
• Anyword's Technology: Anyword's AI copywriting platform uses a combination of pre-trained and fine-tuned models, including GPT3, T5 and CTRL, to generate quality marketing copy for its customers.
• Introduced in 2021, Plenoctrees (plenoptic octrees) enabled real-time rendering of pre-trained NeRFs through division of the volumetric radiance function into an octree.
• Generative pre-trained transformers (GPTs) are a class of large language models (LLMs) that employ artificial neural networks to produce human-like content.

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