DataComp: In search of the next generation of multimodal data sets
*=Equal taxpayers Multimodal datasets are a critical component in recent advances such as Stable Diffusion and GPT-4, but their design ...
Tag: multimodal
Researchers from TH Nürnberg and Apple improve virtual assistant interactions with efficient multimodal learning models
The virtual assistant space faces a fundamental challenge: how to make interactions with these assistants more natural and intuitive. Previously, ...
EPFL and Apple Researchers Open-Sources 4M: An AI framework for training multimodal foundation models across dozens of modalities and tasks
Training large language models (LLMs) that can naturally handle diverse tasks without extensive task-specific tuning has become more popular in ...
SalesForce AI Research BannerGen – An Open Source Library for Multimodal Banner Generation
Effective graphic design is the backbone of a successful marketing campaign. It acts as a communication bridge between designers and ...
Resource-Efficient Device-Directed Speech Detection and Multimodal Data with Large Base Models
*=Equal taxpayers This article was accepted into the Efficient Natural Language and Speech Processing workshop at NeurIPS 2023. Interactions with ...
4M: Massively Multimodal Masked Modeling
*=Equal taxpayers Current machine learning models for vision are typically highly specialized and limited to a single modality and task. ...
What is Multimodal Artificial Intelligence? Your applications and use cases
In this era defined by technological innovations and dominated by technological advancements, the field of artificial intelligence (ai) has successfully ...
Meet JARVIS-1: Open-World Multitasking Agents with Memory-Augmented Multimodal Language Models
A team of researchers from Peking University, UCLA, Beijing University of Posts and Telecommunications, and Beijing Institute of Artificial General ...
This AI article introduces LLaVA-Plus: a general-purpose multimodal assistant that extends the capabilities of large multimodal models
Creating general-purpose assistants that can efficiently carry out various real-world activities following users' (multimodal) instructions has long been a goal ...
Meet mPLUG-Owl2: a multimodal core model that transforms multimodal large language models (MLLM) with modality collaboration
Large language models, with their human imitation capabilities, have taken the artificial intelligence community by storm. With exceptional text generation ...
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