Automl-gpt: Automatic machine learning with gpt

S Zhang, C Gong, L Wu, X Liu, M Zhou - arXiv preprint arXiv:2305.02499, 2023 - arxiv.org
AI tasks encompass a wide range of domains and fields. While numerous AI models have
been designed for specific tasks and applications, they often require considerable human …

Augmenting interpretable models with large language models during training

C Singh, A Askari, R Caruana, J Gao - Nature Communications, 2023 - nature.com
Recent large language models (LLMs), such as ChatGPT, have demonstrated remarkable
prediction performance for a growing array of tasks. However, their proliferation into high …

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 …

ChatGPT: Fundamentals, applications and social impacts

M Abdullah, A Madain… - 2022 Ninth International …, 2022 - ieeexplore.ieee.org
Recent progress in large language models has pushed the boundaries of natural language
processing, setting new standards for performance. It is remarkable how artificial intelligence …

A systematic study and comprehensive evaluation of ChatGPT on benchmark datasets

MTR Laskar, MS Bari, M Rahman… - arXiv preprint arXiv …, 2023 - arxiv.org
The development of large language models (LLMs) such as ChatGPT has brought a lot of
attention recently. However, their evaluation in the benchmark academic datasets remains …

Large language model as attributed training data generator: A tale of diversity and bias

Y Yu, Y Zhuang, J Zhang, Y Meng… - Advances in …, 2024 - proceedings.neurips.cc
Large language models (LLMs) have been recently leveraged as training data generators
for various natural language processing (NLP) tasks. While previous research has explored …

Ask me anything: A simple strategy for prompting language models

S Arora, A Narayan, MF Chen, L Orr… - The Eleventh …, 2022 - openreview.net
Large language models (LLMs) transfer well to new tasks out-of-the-box simply given a
natural language prompt that demonstrates how to perform the task and no additional …

Chatgpt's one-year anniversary: are open-source large language models catching up?

H Chen, F Jiao, X Li, C Qin, M Ravaut, R Zhao… - arXiv preprint arXiv …, 2023 - arxiv.org
Upon its release in late 2022, ChatGPT has brought a seismic shift in the entire landscape of
AI, both in research and commerce. Through instruction-tuning a large language model …

Unlocking the potential of ChatGPT: A comprehensive exploration of its applications, advantages, limitations, and future directions in natural language processing

W Hariri - arXiv preprint arXiv:2304.02017, 2023 - arxiv.org
Large language models have revolutionized the field of artificial intelligence and have been
used in various applications. Among these models, ChatGPT (Chat Generative Pre-trained …

[HTML][HTML] Cpm-2: Large-scale cost-effective pre-trained language models

Z Zhang, Y Gu, X Han, S Chen, C Xiao, Z Sun, Y Yao… - AI Open, 2021 - Elsevier
In recent years, the size of pre-trained language models (PLMs) has grown by leaps and
bounds. However, efficiency issues of these large-scale PLMs limit their utilization in real …