Multimodal

RAG-Check: A Novel AI Framework for Multimodal Retrieval-Augmented Generation

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RAG-Check: A Novel AI Framework for Multimodal Retrieval-Augmented Generation

Large Language Models (LLMs) have made significant progress in the field of generative artificial intelligence, but they face the “hallucination” problem, which is the tendency to generate inaccurate or irrelevant information. This issue is particularly severe in high-risk applications such as medical assessments and insurance claims processing. To address this challenge, researchers from the University … Read more

Understanding Kimi 1.5 Technical Report

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Understanding Kimi 1.5 Technical Report

Recently, it feels like the New Year has come early. Just last night, DeepSeek and Kimi both released their version 1.0, and Kimi was the first to publish its technical report, which is quite interesting… When it comes to Kimi, everyone has the impression that it has a technological first-mover advantage, being the first to … Read more

DeepSeek-VL: A Preliminary Exploration of Multimodal Models

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DeepSeek-VL: A Preliminary Exploration of Multimodal Models

Following the release of large models for language, code, mathematics, etc., DeepSeek has brought another early achievement on the journey towards AGI… DeepSeekVL, jointly expanding training data, model architecture, and training strategies, attempts to build the strongest open-source 7B and 1.3B multimodal models. Highlights Data: Multi-source multimodal data enhances the model’s general cross-modal capabilities, mixing … Read more