Summarization of texts have been considered as essential practice nowadays with the careful presentation of the main ideas of a text. The current study aims to provide a methodology of summarizing ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

Abstract: Programming language pre-training models have made significant progress in code representation learning in recent years. Although various methods, such as data flow and Abstract Syntax Tree ...

This project implements an Aspect-Based Sentiment Analysis (ABSA) pipeline using fine-tuned bert-large-uncased[1] model. It extracts aspect terms from text (e.g., "sevice," "food", "ambiance") and ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...

Abstract: In this paper, we propose a fully quantized matrix arithmetic-only BERT (FQ MA-BERT) model to enable efficient natural language processing. Conventionally, the BERT model relies on floating ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...

Brain stimulation has become a widely accepted treatment for neurological disorders such as epilepsy and Parkinson’s disease. These devices not only deliver therapeutic stimulation but also record ...

Dissemination of a French Regulatory News, transmitted by EQS Group. The issuer is solely responsible for the content of this announcement. LightOn announces ModernBERT: a new generation of BERT ...