The explanations aim to capture the core concepts and key takeaways as accurately as possible. However, we always recommend referring back to the original paper for technical details. Think of the AI explanation
SHAP has specific support for natural language models like those in the Hugging Face transformers library. By adding coalitional rules to traditional Shapley values we can form games that explain large modern NLP model using very few function evaluations. Using this functionality is as simple as pass...
Google BERT is an AI language model that the company now applies to search results. Though it's a complex model, Google BERT's purpose is very simple: It helps Google better understand the context around your searches. BERT usesAI in the form of natural language processing (NLP), natural ...
Artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) are three of the most powerful technologies that our modern society has access to. Theycan process datain huge quantities in a way that no human being could hope to achieve, and they will revolutionize ...
“Artificial intelligence” is often adubious label for selling all manner of tech snake oil, but one area where the idea of machine sentience at leastfeelsshockingly realistic is in Natural Language Processing, or NLP, the machine learning systems that learn to parse and respond to human langua...