Artificial intelligence

Text embeddings have revolutionized natural language processing by providing dense vector representations that capture semantic meaning. In the previous tutorial, you learned how...

Contextual advertising, a strategy that matches ads with relevant digital content, has transformed digital marketing...

Challenges in Constructing Effective Pretraining Data Mixtures As large language models (LLMs)...

Retrieval Augmented Generation (RAG) enhances AI responses by combining the generative AI model’s capabilities with...

Language models have made significant strides in tackling reasoning tasks, with...

import numpy as npimport torchfrom transformers import BertTokenizer, BertModel def get_context_vectors(sentence, model, tokenizer):    inputs = tokenizer(sentence, return_tensors="pt", add_special_tokens=True)    input_ids = inputs    attention_mask = inputs     # Get the tokens...