1 What Is Multimodal Discourse 1.1 What is Discourse? Discourse is an important means for humans to convey information, serving as a linguistic unit with communicative significance or contextual semantics. 1.2 The forms of discourse can be monomodal (单模态) or multimodal (多模态). Here, mode refers to the pattern or method of information transmission in discourse. … Read more
Source: Graph Science Lab This article is about 4000 words long and is recommended to be read in 8 minutes. This article introduces the transition states in multimodal learning—Latent Modal. Background With the advancement of large models, single-modal large models can no longer adequately meet the needs of real-world work. Many research teams and institutions … Read more
Exciting Recommendations By Wang Shasha, R&D Center, Agricultural Bank of China Emotion computing aims to construct an intelligent system that can perceive, recognize, and understand human emotions, achieving intelligent, sensitive, and natural responses to human feelings. Early on, the industry commonly employed unimodal emotion computing technologies, such as micro-expression recognition, speech emotion recognition, and text … Read more
MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and PhD students, university teachers, and corporate researchers. The vision of the community is to promote communication and progress between the academic and industrial fields of natural language processing and machine learning, especially for the progress … Read more
Introduction: The author will delve into the concept of Multimodal Large Language Models (MLLMs). This model not only inherits the powerful reasoning capabilities of Large Language Models (LLMs) but also integrates the ability to process multimodal information, enabling it to easily handle various types of data, such as text and images.©️【Deep Blue AI】 In short, … Read more
Click the above“Mechanical and Electronic Engineering Technology” to follow us 1. Definition and Concept Multimodal learning is a machine learning method that utilizes various data modalities to train models, which may include text, images, audio, video, etc. Multimodal AI technology integrates multiple data patterns, such as text, images, videos, and audio, to provide a more … Read more
The Transformer model is a machine learning model initially used for natural language processing tasks, such as translation and text generation. It was developed by the Google AI team, and its design breaks through the limitations of previous recurrent neural networks and convolutional neural networks. The core of the Transformer model is the self-attention mechanism, … Read more
Janus-Pro is an advanced multimodal understanding and generation model developed by the DeepSeek-AI team, which is an upgraded version of the previous Janus model. Janus-Pro has improved in three aspects: optimized training strategies, expanded training data, and increased model scale. These improvements have enabled Janus-Pro to achieve significant progress in multimodal understanding and text-to-image instruction-following … Read more
Introduction to Deepseek Janus-Pro Multimodal Framework Overview Introduction Janus-Pro is a novel self-regressive framework that unifies the capabilities of multimodal understanding and generation. By decomposing visual encoding into independent channel processing while still employing a single, unified transformer architecture for computation, Janus-Pro addresses the limitations of previous methods. This decoupling not only alleviates the role … Read more
🌹Hello everyone! Thank you for visitingwangyi AI Studio WeChat Official Account. I am a computer enthusiast who enjoys researching various hardware and software. AI technology is advancing rapidly, and if we don’t keep learning, we might fall behind! On this journey of exploration, I will progress together with all of you. If you like it, … Read more