In this paper, we delve into the fine-tuning methods of LLMs and conduct extensive experiments to investigate the impact of fine-tuning methods for large models on the existing multimodal model in the medical domain from the training data level and the model structure level. We show the ...
LLMs can accomplish specialized medical knowledge tasks, however, equitable access is hindered by the extensive fine-tuning, specialized medical data requirement, and limited access to proprietary models. Open-source (OS) medical LLMs show performance improvements and provide the transparency and complian...
An even better use of LLMs is to take advantage of their facility with language. Data analysts can use an LLM to accelerate text analysis and -- if it ismultimodaland can interpret spoken language -- oral inputs. LLMs can transcribe spoken word inputs, translate languages and analyze the ...
The current evaluation framework does not support multimodal input, and researchers have not yet assessed "return on investment," such as comparing the payment to freelancers for completing a task with the cost of using APIs, which will be a key focus for improving this benchmark in the future...
“LLMs are like the big, single-node monolithic systems used to perform multiple business functions, while AI agents are like independent microservices used to perform specialized tasks – both are important and relevant on a broader scale,” Keith Pijanowski, subject matter expert AI/ML at MinI...
Advancing LLM safety This work has been used to inform the development of Gemini 1.5 (as highlighted in their technical report), one of the latest models released by Google DeepMind designed for multimodal AI applications. Andriushchenko's thesis also recently won the Patrick Denantes Memorial Pr...
Also, RCI is more expensive to run compared to approaches that just sample once from the LLM. There are many avenues for future research in increasing the capacity of LLMs in decision-making tasks. First, our experiments use LLMs on HTML code, but ideally methods based on multimodal ...
Alibaba Cloud’s contributions to AI are extensive, ranging from LLMs of various sizes – 1.8B to 72B parameters – to multimodal models equipped with audio and visual comprehension. Jingren Zhou, CTO of Alibaba Cloud, emphasizes the significance of an open-source ecosystem for the growth of ...
applications and create new edge AI-enabled capabilities. Dell Reference Designs for the Dell AI Factory with NVIDIA and the NVIDIA Blueprint for video search and summarization will support VLM capabilities in dedicated AI workflows for data center, edge and on-premises multimodal enterprise use ...
As the capabilities of Multimodal Large Language Models (MLLMs) continue to improve, the need for higher-order capability evaluation of MLLMs is increasing. However, there is a lack of work evaluating MLLM for higher-order perception and understanding of Chinese visual content. To fill the gap...