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The rise and potential of large language model based agents: A survey
For a long time, researchers have sought artificial intelligence (AI) that matches or exceeds
human intelligence. AI agents, which are artificial entities capable of sensing the …
human intelligence. AI agents, which are artificial entities capable of sensing the …
A comprehensive overview of large language models
Large Language Models (LLMs) have recently demonstrated remarkable capabilities in
natural language processing tasks and beyond. This success of LLMs has led to a large …
natural language processing tasks and beyond. This success of LLMs has led to a large …
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai… - arxiv preprint arxiv …, 2024 - arxiv.org
In this report, we introduce the Gemini 1.5 family of models, representing the next generation
of highly compute-efficient multimodal models capable of recalling and reasoning over fine …
of highly compute-efficient multimodal models capable of recalling and reasoning over fine …
Harnessing the power of llms in practice: A survey on chatgpt and beyond
This article presents a comprehensive and practical guide for practitioners and end-users
working with Large Language Models (LLMs) in their downstream Natural Language …
working with Large Language Models (LLMs) in their downstream Natural Language …
Challenges and applications of large language models
Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …
Rwkv: Reinventing rnns for the transformer era
Transformers have revolutionized almost all natural language processing (NLP) tasks but
suffer from memory and computational complexity that scales quadratically with sequence …
suffer from memory and computational complexity that scales quadratically with sequence …
Flashattention-3: Fast and accurate attention with asynchrony and low-precision
J Shah, G Bikshandi, Y Zhang… - Advances in …, 2025 - proceedings.neurips.cc
Attention, as a core layer of the ubiquitous Transformer architecture, is the bottleneck for
large language models and long-context applications. elaborated an approach to speed up …
large language models and long-context applications. elaborated an approach to speed up …
[PDF][PDF] 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 …
Ul2: Unifying language learning paradigms
Y Tay, M Dehghani, VQ Tran, X Garcia, J Wei… - arxiv preprint arxiv …, 2022 - arxiv.org
Existing pre-trained models are generally geared towards a particular class of problems. To
date, there seems to be still no consensus on what the right architecture and pre-training …
date, there seems to be still no consensus on what the right architecture and pre-training …
Language modeling is compression
G Delétang, A Ruoss, PA Duquenne, E Catt… - arxiv preprint arxiv …, 2023 - arxiv.org
It has long been established that predictive models can be transformed into lossless
compressors and vice versa. Incidentally, in recent years, the machine learning community …
compressors and vice versa. Incidentally, in recent years, the machine learning community …