The profile module serves as the foundation for agent design, exerting significant influence on the agent memorization, planning, and action procedures. 2.1.2 内存模块(Memory module) 内存模块在代理架构设计中起着非常重要的作用。它存储从环境中感知到的信息,并利用记录的记忆来促进未来的行动。记忆模块...
Overall, we believe that pre-training a large-scale multimodal foundation model is indeed a potential approach to achieving AGI. Fig. 1: Overarching concept of our BriVL model with weak training data assumption. a Comparison between the human brain and our multimodal foundation model BriVL (...
《多模态与语篇体裁:书面多模态语篇系统分析的基本原则》(Multimodality and Genre:A Foundation for the Systematic Analysis ofMultimodal Documents)是德国Univers... J.Bateman,陈瑜敏 - 《当代语言学》 被引量: 5发表: 2010年 The multimodal construction of acceptability: Marvel's Civil War comic books and ...
1.2 Perception: Multimodal Inputs for LLM-based Agents 1.2.1 Visual 1.2.2 Audio 1.3 Action: Expand Action Space of LLM-based Agents 1.3.1 Tool Using 1.3.2 Embodied Action 2. Agents in Practice: Applications of LLM-based Agents 2.1 General Ability of Single Agent 2.1.1 Task-oriented...
To overcome this limitation and take a solid step towards artificial general intelligence (AGI), we develop a foundation model pre-trained with huge multimodal data, which can be quickly adapted for various downstream cognitive tasks. To achieve this goal, we propose to pre-train our foundation ...
基于论文《Agent AI- Surveying the Horizons of Multimodal Interaction》中的AI代理分类,AIoT代理可以包含如下类别: 1、具身AIoT代理 具身人工智能的目标是创造出诸如机器人等智能体,使其学会创造性地解决需要与环境交互的具有挑战性的任务。 尽管这是一个重大的挑战,但深度学习的重要进展以及大型数据集(如ImageNet...
AppAgent: multimodal agents as smartphone users. 2023, arXiv preprint arXiv: 2312.13771 Madaan A, Tandon N, Clark P, Yang Y. Memory-assisted prompt editing to improve GPT-3 after deployment. In: Proceedings of 2022 Conference on Empirical Methods in Natural Language Processing. 2022, 2833–...
Multimodal Instruction Tuning Multimodal In-Context Learning Multimodal Chain-of-Thought LLM-Aided Visual Reasoning Foundation Models Others Awesome Datasets Datasets of Pre-Training for Alignment Datasets of Multimodal Instruction Tuning Datasets of In-Context Learning Datasets of Multimodal Chain-of-Thought...
A multimodal large-scale model, characterized by its open-source nature, closely emulates the functionalities of the GPT4V/Qwen-VL-Plus model. Built upon the foundation of Qwen-72b-Chat, CatVision in handling inputs that combine both images and text. This model is designed to effectively follow...
Another emerging application for multimodal sentiment analysis is sentiment analysis in human–avatar or human–human interaction. Clavel and Callejas [18] posited that sentiment expressed in the interaction between a person and an Embodied Conversational Agent (ECA) can be used to improve the quality...