Almanac—retrieval-augmented language models for clinical medicine
Abstract Background Large language models (LLMs) have recently shown impressive zero-
shot capabilities, whereby they can use auxiliary data, without the availability of task-specific …
shot capabilities, whereby they can use auxiliary data, without the availability of task-specific …
Harnessing large vision and language models in agriculture: A review
H Zhu, S Qin, M Su, C Lin, A Li, J Gao - arxiv preprint arxiv:2407.19679, 2024 - arxiv.org
Large models can play important roles in many domains. Agriculture is another key factor
affecting the lives of people around the world. It provides food, fabric, and coal for humanity …
affecting the lives of people around the world. It provides food, fabric, and coal for humanity …
A review of current trends, techniques, and challenges in large language models (llms)
Natural language processing (NLP) has significantly transformed in the last decade,
especially in the field of language modeling. Large language models (LLMs) have achieved …
especially in the field of language modeling. Large language models (LLMs) have achieved …
Semantic scene understanding with large language models on unmanned aerial vehicles
Unmanned Aerial Vehicles (UAVs) are able to provide instantaneous visual cues and a high-
level data throughput that could be further leveraged to address complex tasks, such as …
level data throughput that could be further leveraged to address complex tasks, such as …
LLM-informed multi-armed bandit strategies for non-stationary environments
In this paper, we introduce an innovative approach to handling the multi-armed bandit (MAB)
problem in non-stationary environments, harnessing the predictive power of large language …
problem in non-stationary environments, harnessing the predictive power of large language …
Llm adaptive pid control for b5g truck platooning systems
This paper presents an exploration into the capabilities of an adaptive PID controller within
the realm of truck platooning operations, situating the inquiry within the context of Cognitive …
the realm of truck platooning operations, situating the inquiry within the context of Cognitive …
Emergent cooperation and strategy adaptation in multi-agent systems: An extended coevolutionary theory with llms
The increasing complexity of Multi-Agent Systems (MASs), coupled with the emergence of
Artificial Intelligence (AI) and Large Language Models (LLMs), have highlighted significant …
Artificial Intelligence (AI) and Large Language Models (LLMs), have highlighted significant …
A new approach to web application security: Utilizing gpt language models for source code inspection
Z Szabó, V Bilicki - Future Internet, 2023 - mdpi.com
Due to the proliferation of large language models (LLMs) and their widespread use in
applications such as ChatGPT, there has been a significant increase in interest in AI over the …
applications such as ChatGPT, there has been a significant increase in interest in AI over the …
Bookgpt: A general framework for book recommendation empowered by large language model
Z Li, Y Chen, X Zhang, X Liang - Electronics, 2023 - mdpi.com
With the continuous development and change exhibited by large language model (LLM)
technology, represented by generative pretrained transformers (GPTs), many classic …
technology, represented by generative pretrained transformers (GPTs), many classic …
When large language models meet optical networks: paving the way for automation
Since the advent of GPT, large language models (LLMs) have brought about revolutionary
advancements in all walks of life. As a superior natural language processing (NLP) …
advancements in all walks of life. As a superior natural language processing (NLP) …