[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 …
landscape of scientific research. Out of which, the chatbot technology has experienced …
A review on fairness in machine learning
An increasing number of decisions regarding the daily lives of human beings are being
controlled by artificial intelligence and machine learning (ML) algorithms in spheres ranging …
controlled by artificial intelligence and machine learning (ML) algorithms in spheres ranging …
Segment anything
Abstract We introduce the Segment Anything (SA) project: a new task, model, and dataset for
image segmentation. Using our efficient model in a data collection loop, we built the largest …
image segmentation. Using our efficient model in a data collection loop, we built the largest …
Pythia: A suite for analyzing large language models across training and scaling
S Biderman, H Schoelkopf… - International …, 2023 - proceedings.mlr.press
How do large language models (LLMs) develop and evolve over the course of training?
How do these patterns change as models scale? To answer these questions, we introduce …
How do these patterns change as models scale? To answer these questions, we introduce …
Scaling vision transformers to 22 billion parameters
The scaling of Transformers has driven breakthrough capabilities for language models. At
present, the largest large language models (LLMs) contain upwards of 100B parameters …
present, the largest large language models (LLMs) contain upwards of 100B parameters …
Toxicity in chatgpt: Analyzing persona-assigned language models
Large language models (LLMs) have shown incredible capabilities and transcended the
natural language processing (NLP) community, with adoption throughout many services like …
natural language processing (NLP) community, with adoption throughout many services like …
Easily accessible text-to-image generation amplifies demographic stereotypes at large scale
Machine learning models that convert user-written text descriptions into images are now
widely available online and used by millions of users to generate millions of images a day …
widely available online and used by millions of users to generate millions of images a day …
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations
Artificial intelligence (AI) systems have increasingly achieved expert-level performance in
medical imaging applications. However, there is growing concern that such AI systems may …
medical imaging applications. However, there is growing concern that such AI systems may …
On the opportunities and risks of foundation models
AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
Art and the science of generative AI
Z Epstein, A Hertzmann… - Science, 2023 - science.org
The capabilities of a new class of tools, colloquially known as generative artificial
intelligence (AI), is a topic of much debate. One prominent application thus far is the …
intelligence (AI), is a topic of much debate. One prominent application thus far is the …