lymphocyte- an agranulocytic leukocyte that normally makes up a quarter of the white blood cell count but increases in the presence of infection lymph cell lymphatic system,systema lymphaticum- the interconnected system of spaces and vessels between body tissues and organs by which lymph circulates ...
If the structure of language vocabularies mirrors the structure of natural divisions that are universally perceived, then the meanings of words in different languages should closely align. By contrast, if shared word meanings are a product of shared cult
BERT is a pre-trained LLM based on the encoder part of the Transformer architecture. It is designed to learn bidirectional context, which enables the model to better understand the relationship between words in a sentence. BERT is pre-trained on a large-scale unsupervised dataset using two objec...
word_count integer The number of words separated by spaces. num_tokens_bert integer The number of tokens using BertTokenizer num_tokens_gpt integer The number of tokens using GPT2TokenizerFast num_faces integer The number of faces in the image detected by SCRFD clip_similarity_vitb32 float The...
It is difficult to train statistical n -gram language models for Japanese because Japanese sentences are written without spaces between words. This difficulty was overcome by segmenting sentences into words with a morphological analyzer and then training the n -gram language models using those words....
CLMs and PLMs refer to different types of language models used in NLP. Here are the key differences between the two: Context CLM: a CLM generates text conditioned on a given input or context. It takes into account the previous words or context to generate the next word or sequence of word...
Word Tokenization: Splits the text into words based on spaces or punctuation marks. Example: “I love coding” → [“I”, “love”, “coding”] Sub-word Tokenization: Breaks down words into smaller meaningful units. Example: “unhappiness” → [“un”, “happiness”] ...
It is shown that it is the most natural eigenvalue normalisation from the point of view of geometric analysis in dimension d \ge 3.1.3 Free boundary minimal surfaces In dimension d=2, the striking connection between the Steklov eigenvalue problem and free boundary minimal submanifolds in the ...
For example, the means of these distributions give rise to a natural measure of distance between models. One of the most useful applications of these distributions is as a basis for a new Bayesian classifier. The latter can be used to significantly reduce search effort in large vocabularies, ...
After that, we performed a two-sided Welch’s t-test on the accuracy differences between the LLM and the baseline using the samples generated from the LLM and the baseline, assuming t-distribution. Additionally, when the post-processing procedure could not map the LLM response to one of the...