[HTML][HTML] ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope

PP Ray - Internet of Things and Cyber-Physical Systems, 2023 - Elsevier
In recent years, artificial intelligence (AI) and machine learning have been transforming the
landscape of scientific research. Out of which, the chatbot technology has experienced …

[HTML][HTML] A comprehensive survey of ChatGPT: advancements, applications, prospects, and challenges

A Nazir, Z Wang - Meta-radiology, 2023 - Elsevier
Abstract Large Language Models (LLMs) especially when combined with Generative Pre-
trained Transformers (GPT) represent a groundbreaking in natural language processing. In …

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 …

Taskmatrix. ai: Completing tasks by connecting foundation models with millions of apis

Y Liang, C Wu, T Song, W Wu, Y Xia, Y Liu… - Intelligent …, 2024 - spj.science.org
In recent years, artificial intelligence (AI) has made incredible progress. Advanced
foundation models such as ChatGPT can offer powerful conversation, in-context learning …

Visual programming for step-by-step text-to-image generation and evaluation

J Cho, A Zala, M Bansal - Advances in Neural Information …, 2024 - proceedings.neurips.cc
As large language models have demonstrated impressive performance in many domains,
recent works have adopted language models (LMs) as controllers of visual modules for …

Gaia: a benchmark for general ai assistants

G Mialon, C Fourrier, C Swift, T Wolf, Y LeCun… - arXiv preprint arXiv …, 2023 - arxiv.org
We introduce GAIA, a benchmark for General AI Assistants that, if solved, would represent a
milestone in AI research. GAIA proposes real-world questions that require a set of …

Data-copilot: Bridging billions of data and humans with autonomous workflow

W Zhang, Y Shen, W Lu, Y Zhuang - arXiv preprint arXiv:2306.07209, 2023 - arxiv.org
Various industries such as finance, meteorology, and energy generate vast amounts of
heterogeneous data every day. There is a natural demand for humans to manage, process …

The potential of visual ChatGPT for remote sensing

LP Osco, EL Lemos, WN Gonçalves, APM Ramos… - Remote Sensing, 2023 - mdpi.com
Recent advancements in Natural Language Processing (NLP), particularly in Large
Language Models (LLMs), associated with deep learning-based computer vision …

Self-contrast: Better reflection through inconsistent solving perspectives

W Zhang, Y Shen, L Wu, Q Peng, J Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
The reflection capacity of Large Language Model (LLM) has garnered extensive attention. A
post-hoc prompting strategy, eg, reflexion and self-refine, refines LLM's response based on …

Toward the unification of generative and discriminative visual foundation model: a survey

X Liu, T Zhou, C Wang, Y Wang, Y Wang, Q Cao… - The Visual …, 2024 - Springer
The advent of foundation models, which are pre-trained on vast datasets, has ushered in a
new era of computer vision, characterized by their robustness and remarkable zero-shot …