A brief overview of ChatGPT: The history, status quo and potential future development
ChatGPT, an artificial intelligence generated content (AIGC) model developed by OpenAI,
has attracted world-wide attention for its capability of dealing with challenging language …
has attracted world-wide attention for its capability of dealing with challenging language …
A comprehensive survey of ai-generated content (aigc): A history of generative ai from gan to chatgpt
Recently, ChatGPT, along with DALL-E-2 and Codex, has been gaining significant attention
from society. As a result, many individuals have become interested in related resources and …
from society. As a result, many individuals have become interested in related resources and …
A survey of large language models
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 …
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai… - arXiv preprint arXiv …, 2024 - arxiv.org
In this report, we introduce the Gemini 1.5 family of models, representing the next generation
of highly compute-efficient multimodal models capable of recalling and reasoning over fine …
of highly compute-efficient multimodal models capable of recalling and reasoning over fine …
Bloomberggpt: A large language model for finance
The use of NLP in the realm of financial technology is broad and complex, with applications
ranging from sentiment analysis and named entity recognition to question answering. Large …
ranging from sentiment analysis and named entity recognition to question answering. Large …
Siren's song in the AI ocean: a survey on hallucination in large language models
While large language models (LLMs) have demonstrated remarkable capabilities across a
range of downstream tasks, a significant concern revolves around their propensity to exhibit …
range of downstream tasks, a significant concern revolves around their propensity to exhibit …
Bloom: A 176b-parameter open-access multilingual language model
Large language models (LLMs) have been shown to be able to perform new tasks based on
a few demonstrations or natural language instructions. While these capabilities have led to …
a few demonstrations or natural language instructions. While these capabilities have led to …
Resurrecting recurrent neural networks for long sequences
Abstract Recurrent Neural Networks (RNNs) offer fast inference on long sequences but are
hard to optimize and slow to train. Deep state-space models (SSMs) have recently been …
hard to optimize and slow to train. Deep state-space models (SSMs) have recently been …
Flamingo: a visual language model for few-shot learning
Building models that can be rapidly adapted to novel tasks using only a handful of annotated
examples is an open challenge for multimodal machine learning research. We introduce …
examples is an open challenge for multimodal machine learning research. We introduce …
A comprehensive survey on applications of transformers for deep learning tasks
Abstract Transformers are Deep Neural Networks (DNN) that utilize a self-attention
mechanism to capture contextual relationships within sequential data. Unlike traditional …
mechanism to capture contextual relationships within sequential data. Unlike traditional …