[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 …
[HTML][HTML] A comprehensive survey of ChatGPT: advancements, applications, prospects, and challenges
Abstract Large Language Models (LLMs) especially when combined with Generative Pre-
trained Transformers (GPT) represent a groundbreaking in natural language processing. In …
trained Transformers (GPT) represent a groundbreaking in natural language processing. In …
Audioldm 2: Learning holistic audio generation with self-supervised pretraining
Although audio generation shares commonalities across different types of audio, such as
speech, music, and sound effects, designing models for each type requires careful …
speech, music, and sound effects, designing models for each type requires careful …
Foundation and large language models: fundamentals, challenges, opportunities, and social impacts
D Myers, R Mohawesh, VI Chellaboina, AL Sathvik… - Cluster …, 2024 - Springer
Abstract Foundation and Large Language Models (FLLMs) are models that are trained using
a massive amount of data with the intent to perform a variety of downstream tasks. FLLMs …
a massive amount of data with the intent to perform a variety of downstream tasks. FLLMs …
ChatGPT as an important tool in organizational management: A review of the literature
ChatGPT is an emerging technology that revolutionizes organizational practices,
fundamentally altering how individuals in organizations search for, generate, and utilize …
fundamentally altering how individuals in organizations search for, generate, and utilize …
A systematic literature review on text generation using deep neural network models
In recent years, significant progress has been made in text generation. The latest text
generation models are revolutionizing the domain by generating human-like text. It has …
generation models are revolutionizing the domain by generating human-like text. It has …
Towards improved classification accuracy on highly imbalanced text dataset using deep neural language models
Data imbalance is a frequently occurring problem in classification tasks where the number of
samples in one category exceeds the amount in others. Quite often, the minority class data is …
samples in one category exceeds the amount in others. Quite often, the minority class data is …
Understanding multi-turn toxic behaviors in open-domain chatbots
Recent advances in natural language processing and machine learning have led to the
development of chatbot models, such as ChatGPT, that can engage in conversational …
development of chatbot models, such as ChatGPT, that can engage in conversational …
Conditioned image retrieval for fashion using contrastive learning and clip-based features
Building on the recent advances in multimodal zero-shot representation learning, in this
paper we explore the use of features obtained from the recent CLIP model to perform …
paper we explore the use of features obtained from the recent CLIP model to perform …
自然语言处理预训练技术综述.
陈德光， 马金林， 马自萍， 周洁 - Journal of Frontiers of …, 2021 - search.ebscohost.com
在目前已发表的自然语言处理预训练技术综述中, 大多数文章仅介绍神经网络预训练技术或者极
简单介绍传统预训练技术, 存在人为割裂自然语言预训练发展历程. 为此, 以自然语言预训练发展 …
简单介绍传统预训练技术, 存在人为割裂自然语言预训练发展历程. 为此, 以自然语言预训练发展 …