The rise and potential of large language model based agents: A survey
For a long time, researchers have sought artificial intelligence (AI) that matches or exceeds
human intelligence. AI agents, which are artificial entities capable of sensing the …
human intelligence. AI agents, which are artificial entities capable of sensing the …
When large language models meet personalization: Perspectives of challenges and opportunities
The advent of large language models marks a revolutionary breakthrough in artificial
intelligence. With the unprecedented scale of training and model parameters, the capability …
intelligence. With the unprecedented scale of training and model parameters, the capability …
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu… - arxiv preprint arxiv …, 2023 - arxiv.org
This report introduces a new family of multimodal models, Gemini, that exhibit remarkable
capabilities across image, audio, video, and text understanding. The Gemini family consists …
capabilities across image, audio, video, and text understanding. The Gemini family consists …
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 …
Palm 2 technical report
We introduce PaLM 2, a new state-of-the-art language model that has better multilingual and
reasoning capabilities and is more compute-efficient than its predecessor PaLM. PaLM 2 is …
reasoning capabilities and is more compute-efficient than its predecessor PaLM. PaLM 2 is …
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 …
Large language models struggle to learn long-tail knowledge
The Internet contains a wealth of knowledge—from the birthdays of historical figures to
tutorials on how to code—all of which may be learned by language models. However, while …
tutorials on how to code—all of which may be learned by language models. However, while …
Inner monologue: Embodied reasoning through planning with language models
Recent works have shown how the reasoning capabilities of Large Language Models
(LLMs) can be applied to domains beyond natural language processing, such as planning …
(LLMs) can be applied to domains beyond natural language processing, such as planning …
Glm-130b: An open bilingual pre-trained model
We introduce GLM-130B, a bilingual (English and Chinese) pre-trained language model
with 130 billion parameters. It is an attempt to open-source a 100B-scale model at least as …
with 130 billion parameters. It is an attempt to open-source a 100B-scale model at least as …
Gpt-ner: Named entity recognition via large language models
Despite the fact that large-scale Language Models (LLM) have achieved SOTA
performances on a variety of NLP tasks, its performance on NER is still significantly below …
performances on a variety of NLP tasks, its performance on NER is still significantly below …