Pearson – Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs)
English | Tutorial | Size: 806.66 MB
Pearson – Quick Guide to ChatGPT, Embeddings, and Other Large Language Models (LLMs)
Embeddings
Manning – Extreme Summarization with FastText Word Embeddings and RoBERTa Encodings
Manning – Extreme Summarization With Fasttext Word Embeddings and Roberta Encodings-iLLiTERATE
English | Tutorial | Size: 241.96 MB
Explore the sentence_transformers package for loading a RoBERTa sentence encoder,
Manning – Train Word Embeddings From Scratch With Nessvec and Pytorch
Manning – Train Word Embeddings From Scratch With Nessvec and Pytorch-iLLiTERATE
English | Tutorial | Size: 193.70 MB
Hobson and his colleagues try to figure out how to train word embeddings from scratch using the WikiText2 dataset in PyTorch.
Manning – Working With Transformer-based Embeddings for Text Similarity Matching
Manning – Working With Transformer-based Embeddings for Text Similarity Matching-iLLiTERATE
English | Size: 0.98 GB
Category: Tutorial
Embeddings from transformer models such as BERT can be used as representations of sentences.