A brief overview of ChatGPT: The history, status quo and potential future development

T Wu, S He, J Liu, S Sun, K Liu… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
ChatGPT, an artificial intelligence generated content (AIGC) model developed by OpenAI,
has attracted world-wide attention for its capability of dealing with challenging language …

A survey on evaluation of large language models

Y Chang, X Wang, J Wang, Y Wu, L Yang… - ACM Transactions on …, 2024 - dl.acm.org
Large language models (LLMs) are gaining increasing popularity in both academia and
industry, owing to their unprecedented performance in various applications. As LLMs …

Llama 2: Open foundation and fine-tuned chat models

H Touvron, L Martin, K Stone, P Albert… - arXiv preprint arXiv …, 2023 - arxiv.org
In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large
language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our fine …

Gpt-4 technical report

J Achiam, S Adler, S Agarwal, L Ahmad… - arXiv preprint arXiv …, 2023 - arxiv.org
We report the development of GPT-4, a large-scale, multimodal model which can accept
image and text inputs and produce text outputs. While less capable than humans in many …

A survey of large language models

WX Zhao, K Zhou, J Li, T Tang, X Wang, Y Hou… - arXiv preprint arXiv …, 2023 - arxiv.org
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …

Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face

Y Shen, K Song, X Tan, D Li, W Lu… - Advances in Neural …, 2024 - proceedings.neurips.cc
Solving complicated AI tasks with different domains and modalities is a key step toward
artificial general intelligence. While there are numerous AI models available for various …

Segment everything everywhere all at once

X Zou, J Yang, H Zhang, F Li, L Li… - Advances in …, 2024 - proceedings.neurips.cc
In this work, we present SEEM, a promotable and interactive model for segmenting
everything everywhere all at once in an image. In SEEM, we propose a novel and versatile …

Gpts are gpts: An early look at the labor market impact potential of large language models

T Eloundou, S Manning, P Mishkin, D Rock - arXiv preprint arXiv …, 2023 - arxiv.org
We investigate the potential implications of large language models (LLMs), such as
Generative Pre-trained Transformers (GPTs), on the US labor market, focusing on the …

Reflexion: Language agents with verbal reinforcement learning

N Shinn, F Cassano, A Gopinath… - Advances in …, 2024 - proceedings.neurips.cc
Large language models (LLMs) have been increasingly used to interact with external
environments (eg, games, compilers, APIs) as goal-driven agents. However, it remains …

Camel: Communicative agents for" mind" exploration of large language model society

G Li, H Hammoud, H Itani… - Advances in Neural …, 2023 - proceedings.neurips.cc
The rapid advancement of chat-based language models has led to remarkable progress in
complex task-solving. However, their success heavily relies on human input to guide the …