From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility
This groundbreaking study explores the expanse of Large Language Models (LLMs), such
as Generative Pre-Trained Transformer (GPT) and Bidirectional Encoder Representations …
as Generative Pre-Trained Transformer (GPT) and Bidirectional Encoder Representations …
A survey on large language models: Applications, challenges, limitations, and practical usage
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …
An analysis of large language models: their impact and potential applications
G Bharathi Mohan, R Prasanna Kumar… - … and Information Systems, 2024 - Springer
Large language models (LLMs) have transformed the interpretation and creation of human
language in the rapidly developing field of computerized language processing. These …
language in the rapidly developing field of computerized language processing. These …
A review on large Language Models: Architectures, applications, taxonomies, open issues and challenges
Large Language Models (LLMs) recently demonstrated extraordinary capability in various
natural language processing (NLP) tasks including language translation, text generation …
natural language processing (NLP) tasks including language translation, text generation …
What the [mask]? making sense of language-specific BERT models
Recently, Natural Language Processing (NLP) has witnessed an impressive progress in
many areas, due to the advent of novel, pretrained contextual representation models. In …
many areas, due to the advent of novel, pretrained contextual representation models. In …
A review of hybrid and ensemble in deep learning for natural language processing
This review presents a comprehensive exploration of hybrid and ensemble deep learning
models within Natural Language Processing (NLP), shedding light on their transformative …
models within Natural Language Processing (NLP), shedding light on their transformative …
Bangla-bert: transformer-based efficient model for transfer learning and language understanding
The advent of pre-trained language models has directed a new era of Natural Language
Processing (NLP), enabling us to create powerful language models. Among these models …
Processing (NLP), enabling us to create powerful language models. Among these models …
Advancing transformer architecture in long-context large language models: A comprehensive survey
With the bomb ignited by ChatGPT, Transformer-based Large Language Models (LLMs)
have paved a revolutionary path toward Artificial General Intelligence (AGI) and have been …
have paved a revolutionary path toward Artificial General Intelligence (AGI) and have been …
A mathematical interpretation of autoregressive generative pre-trained transformer and self-supervised learning
M Lee - Mathematics, 2023 - mdpi.com
In this paper, we present a rigorous mathematical examination of generative pre-trained
transformer (GPT) models and their autoregressive self-supervised learning mechanisms …
transformer (GPT) models and their autoregressive self-supervised learning mechanisms …