Multimodal

DeepSeek Janus-Pro: Advanced Multimodal Model

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DeepSeek Janus-Pro: Advanced Multimodal Model

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

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Introduction to Deepseek Janus-Pro Multimodal Framework

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

Deepseek Janus-Pro Multimodal Integration Package Overview

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Deepseek Janus-Pro Multimodal Integration Package Overview

🌹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

DeepSeek Launches Janus-Pro: A Breakthrough in Multimodal AI

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DeepSeek Launches Janus-Pro: A Breakthrough in Multimodal AI

While Wall Street’s tech stocks experienced a dramatic plunge on January 28, a new star in China’s AI sector was illuminating the entire industry with its disruptive brilliance—the DeepSeek team’s officially open-sourced Janus-Pro series model not only redefined the performance boundaries of multimodal large models but also showcased China’s hardcore strength in AI to the … Read more

DeepSeek-Janus: Unified Multimodal Model for Image Understanding and Generation

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DeepSeek-Janus: Unified Multimodal Model for Image Understanding and Generation

Click the blue text Follow us 01 Introduction Following the successful launch of DeepSeek-V3 and DeepSeek-R1, DeepSeek has introduced an enhanced version of the Janus multimodal model, Janus-Pro, continuing to push the boundaries of artificial intelligence. In the rapidly evolving field of AI, multimodal models that can seamlessly understand and generate text and image content … Read more

Gemini 2.0: A New AI Model for the Era of Intelligent Agents

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Gemini 2.0: A New AI Model for the Era of Intelligent Agents

.01 Overview In an era of rapid information iteration, Artificial Intelligence (AI) is changing our lives at an astonishing pace. From search engines to multimodal technologies, AI’s reach continues to extend, pushing the boundaries of human technology. As a pioneer in the AI field, Google DeepMind recently released its latest AI model—Gemini 2.0, heralding the … Read more

Phidata Multimodal Multi-Agent Framework Overview

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Phidata Multimodal Multi-Agent Framework Overview

The open-source agent series focuses on introducing currently available open-source agent frameworks in the market, such as CrewAI, AutoGen, LangChain, phidata, Swarm, etc., discussing their advantages, disadvantages, features, effects, and usage. Interested friends can follow the public account “XiaozhiAGI” for continuous updates on cutting-edge AI technologies and products, such as RAG, Agent, Agentic workflow, AGI. … Read more

VideoLLaMA3: Advanced Multimodal Foundation Model

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VideoLLaMA3: Advanced Multimodal Foundation Model

Click belowCard, follow “AICV and Frontier“ Paper: https://arxiv.org/abs/2412.09262 Code: https://github.com/DAMO-NLP-SG/VideoLLaMA3 01 Introduction A more advanced multimodal foundation model for image and video understanding. The core design philosophy of VideoLLaMA3 is vision-centric: Vision-centric training paradigm Vision-centric framework design. The key point of the vision-centric training paradigm is that high-quality image-text data is crucial for understanding both … Read more

WindSurf Update Testing & Open Source Multimodal AI Creation App

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WindSurf Update Testing & Open Source Multimodal AI Creation App

Hello everyone, I’m Kate. Do you remember the English version of the AI creation app I shared yesterday? A user left a message asking if there is a Chinese voice version. Now, it’s finally here! And this time, it’s still open source! In this video, I will take you on a deep dive into the … Read more

Performance of 2B Parameters Surpasses Mistral-7B: Wall Intelligence Multimodal Edge Model Open Source

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Performance of 2B Parameters Surpasses Mistral-7B: Wall Intelligence Multimodal Edge Model Open Source

Machine Heart reports Editor: Zenan Low-cost devices can run locally. As large models continue to evolve towards larger scales, recent developments have also been made in optimization and deployment. On February 1, Wall Intelligence, in collaboration with Tsinghua NLP Laboratory, officially launched its flagship edge large model “Wall MiniCPM” in Beijing. The new generation large … Read more