Large Language Model
Mass-Producing Failures of Multimodal Systems with Language Models Shengbang Tong Erik Jones
Deployed multimodal systems can fail in ways that evaluators did not anticipate.
This Startup Wants to Spark a US DeepSeek Moment
With the US falling behind on open source models, one startup has a bold idea for democratizing AI: let anyone run reinforcement learning. Ever since DeepSeek burst onto the scene in January, momentum has grown around open source Chinese artificial intelligence models. Some researchers are pushing for an even more open approach to building AI that allows model-making to be distributed across the globe. Prime Intellect, a startup specializing in decentralized AI, is currently training a frontier large language model, called INTELLECT-3, using a new kind of distributed reinforcement learning for fine-tuning. The model will demonstrate a new way to build competitive open AI models using a range of hardware in different locations in a way that does not rely on big tech companies, says Vincent Weisser, the company's CEO.
Supplementary Material for Text Promptable Surgical Instrument Segmentation with Vision-Language Models Zijian Zhou
They are used in our experiments section. OpenAI GPT -4 based prompts The input template for OpenAI GPT -4 is defined as: Please describe the appearance of [class_name] in endoscopic surgery, and change the description to a phrase with subject, and not use colons. The dataset consists of both training and test cases. Each video is recorded at 25 FPS and has annotations for instruments and operation phases. For EndoVis2019, the results are shown in Tab. 1, our method (input size 448) notably surpasses the competition's top performers, with +3% increase in DSC and +2% enhancement in NSD, which demonstrates the superiority of our method.
Text Promptable Surgical Instrument Segmentation with Vision-Language Models
Despite this recognised importance, existing automatic surgical instrument segmentation faces significant challenges. First, with fast-paced advances in MIS, there is a surge in the variety of surgical instruments from different vendors. This is however compounded with the lack of a comprehensive and large-scale dataset dedicated to the learning of surgical instrument segmentation.
IND 2W
LM significantly improves the effectiveness and efficiency of LLMs.
Emergent and Predictable Memorization in Large Language Models
In particular, it is vital to minimize a model's memorization of sensitive
A Unified Framework for U-Net Design and Analysis Christopher Williams
In this paper, we provide a framework for designing and analysing general U-Net architectures.