Nature

Efficient self-attention with smart pruning for sustainable large language models

Large Language Models (LLMs) have revolutionized artificial intelligence by enabling multitasking across diverse fields. However, their high computational demands result in significant environmental ...
Nature

Compressed models for co-reference resolution: enhancing efficiency with debiased word embeddings

This work presents a comprehensive approach to reduce bias in word embedding vectors and evaluate the impact on various Natural Language Processing (NLP) tasks. Two GloVe variations (840B and 50) are ...
VentureBeat

Can conversational AI skip NLP training? Yellow AI has a plan

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More One of the biggest setup challenges artificial intelligence (AI) teams ...
VentureBeat

DeepSeek drops open-source model that compresses text 10x through images, defying conventions

DeepSeek, the Chinese artificial intelligence research company that has repeatedly challenged assumptions about AI development costs, has released a new model that fundamentally reimagines how large ...
Geeky Gadgets

Google’s Embedding Gemma On-Device RAG Made Easy for NLP Efficiency

What if the power of advanced natural language processing could fit in the palm of your hand? Imagine a compact yet highly capable model that brings the sophistication of retrieval augmented ...