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large language models

Breaking Traditions! FUDOKI Model Makes Multi-Modal Generation and Understanding More Flexible and Efficient

Breaking Traditions! FUDOKI Model Makes Multi-Modal Generation and Understanding More Flexible and Efficient
In recent years, the field of artificial intelligence has undergone tremendous changes, particularly with large language models (LLMs) making significant progress in multi-modal tasks. These models demonstrate powerful potential in understanding and generating language, but most current multi-modal models still adopt autoregressive (AR) architectures, which limit their inference process to be relatively monotonous and lacking in flexibility. To address this limitation, a research team from The University of Hong Kong and Huawei Noah’s Ark Lab has proposed a novel model called FUDOKI.The core innovation of FUDOKI lies in its entirely new non-masked discrete flow matching architecture.
6/16/2025 9:49:02 AM
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Mistral Launches New Agents API: Empowering Developers to Build Intelligent AI Agents

Mistral Launches New Agents API: Empowering Developers to Build Intelligent AI Agents
Mistral recently released its new Agents API, a framework designed specifically for developers to simplify the creation of AI agents that can perform various tasks such as running Python code, generating images, and conducting retrieval-augmented generation (RAG).The introduction of this API aims to provide a unified environment for large language models (LLMs) to interact with multiple tools and data sources in a structured and persistent manner.The Agents API is built on top of Mistral's language model and integrates multiple built-in connectors. These connectors enable agents to run Python code in a controlled environment, generate images through dedicated models, access real-time web searches, and utilize user-provided document libraries. One highlight is its persistent memory feature, which allows agents to maintain context across multiple interactions, supporting coherent and stateful conversations..
5/28/2025 11:01:20 AM
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