Aug 20, 2024 · We'll work through an example of using large language mod- els to solve one classic NLP task of summarization (generating a short text that summarizes some ...

Aug 14, 2024 · This survey paper provides a comprehensive analysis of the utilization of Transformers and LLMs in cyber-threat detection systems.

Aug 15, 2024 · In what follows, we first provide a short primer on transformer-based language models. Second, we consider applications of LLMs in behavioral science and ...

Aug 27, 2024 · A large language model (LLM) is a computational model capable of language generation or other natural language processing tasks. As language models, LLMs ...

Aug 30, 2024 · This repository contains references to Azure OpenAI, Large Language Models (LLM), and related services and libraries.

Aug 29, 2024 · In Chapter 4 we propose a method for converting a pretrained encoder-only transformer into a non-autoregressive (non-AR) text generator. We demonstrate that it ...

Aug 15, 2024 · This paper presents a course on neural networks based on the Transformer architecture targeted at diverse groups of people from academia and.

Aug 30, 2024 · MCAM enhances the model's perception of details and contextual information by integrating multi-scale features and coordinate information, improving the ...

Aug 12, 2024 · This review explores the attention mechanism and its extended architectures, including graph attention networks (GATs), transformers, bidirectional encoder ...

4 days ago · A trained BERT model can act as part of a larger model for text classification or other ML tasks. BERT has the following characteristics: Uses the Transformer ...