KOSMOS-2: un modelo de lenguaje grande multimodal de Microsoft
Introducción 2023 ha sido un año de IA, desde modelos de lenguaje hasta modelos de difusión estable. Uno de los ...
Tag: multimodal
SeMAnD: Self-supervised anomaly detection in multimodal geospatial datasets
*= Equal taxpayers We propose a self-supervised anomaly detection technique, called SeMAnD, to detect geometric anomalies in multimodal geospatial datasets. ...
Introduction to NExT-GPT: any-to-any multimodal large language model
Editor's Image In recent years, generative ai research has evolved in a way that has changed the way we work. ...
Revolutionizing AI Listening Skills: Tsinghua University and ByteDance Introduce SALMONN, an Innovative Multimodal Neural Network for Advanced Audio Processing
In several natural language processing applications, text-based large language models have shown impressive and even human-level performance. Meanwhile, an LLM ...
Modality Dropout for Multimodal Device-Directed Speech Detection Using Verbal and Nonverbal Features
Device-directed speech detection (DDSD) is the binary classification task of distinguishing between queries directed to a voice assistant and parallel ...
Microsoft researchers propose DeepSpeed-VisualChat: a leap forward in training scalable multimodal language models
Large language models are sophisticated artificial intelligence systems built to understand and produce human-like language on a large scale. These ...
Exploring the Advanced Multi-Modal Generative AI
Introduction In today’s ever-advancing world of technology, there’s an exciting development on the horizon – Advanced Multi-modal Generative ai. This ...
From Specialists to General Purpose Assistants: A Deep Dive into the Evolution of Multimodal Core Models in Vision and Language
The computer vision community faces a wide range of challenges. Numerous seminar articles were discussed during the pre-training era to ...
Researchers from Microsoft and ETH Zurich present HoloAssist: a multimodal dataset for next-generation AI copilots for the physical world
In the field of artificial intelligence, a persistent challenge has been the development of interactive ai assistants that can effectively ...
UT Austin Researchers Present MUTEX: A Leap Towards Training Multimodal Robots with Multimodal Reasoning
Researchers have introduced a cutting-edge framework called MUTEX, short for “Multimodal Task Specification for Robot Execution,” which aims to significantly ...
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