Tag: multimodal understanding
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Hacker News: DeepSeek-VL2: MoE Vision-Language Models for Advanced Multimodal Understanding
Source URL: https://github.com/deepseek-ai/DeepSeek-VL2 Source: Hacker News Title: DeepSeek-VL2: MoE Vision-Language Models for Advanced Multimodal Understanding Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces DeepSeek-VL2, a series of advanced Vision-Language Models designed to improve multimodal understanding. With competitive performance across various tasks, these models leverage a Mixture-of-Experts architecture for efficiency. This is…
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Cloud Blog: A Look Back at the AI Innovations Transforming the Public Sector
Source URL: https://cloud.google.com/blog/topics/public-sector/a-look-back-at-the-ai-innovations-transforming-the-public-sector/ Source: Cloud Blog Title: A Look Back at the AI Innovations Transforming the Public Sector Feedly Summary: 2024 was a year of incredible innovation and progress, as we continue to invest in bringing the best of Google AI to our customers around the world. The public sector is adopting the latest AI…
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Slashdot: Google Releases Its Own ‘Reasoning’ AI Model
Source URL: https://tech.slashdot.org/story/24/12/19/2235220/google-releases-its-own-reasoning-ai-model?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Releases Its Own ‘Reasoning’ AI Model Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the introduction of Google’s new AI model, Gemini 2.0 Flash Thinking Experimental, which is designed for multimodal understanding and reasoning. It highlights the model’s ability to self-fact-check and improve accuracy, although…
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Hacker News: Janus: Decoupling Visual Encoding for Multimodal Understanding and Generation
Source URL: https://github.com/deepseek-ai/Janus Source: Hacker News Title: Janus: Decoupling Visual Encoding for Multimodal Understanding and Generation Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Janus, a novel autoregressive framework designed for multimodal understanding and generation, addressing previous shortcomings in visual encoding. This model’s ability to manage different visual encoding pathways while…
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Hacker News: MM1.5: Methods, Analysis and Insights from Multimodal LLM Fine-Tuning
Source URL: https://arxiv.org/abs/2409.20566 Source: Hacker News Title: MM1.5: Methods, Analysis and Insights from Multimodal LLM Fine-Tuning Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces MM1.5, a novel set of multimodal large language models (MLLMs) aimed at improving multimodal understanding and reasoning through enhanced training methodologies. It highlights innovative techniques in data…