Multimodal
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Autonomy and Self-Sufficiency in South Greenland – a multimodal ethnographic storymap – Arctic Anthropology
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With all the difficult geopolitical news related to Greenland, the obvious anthropological gaze on autonomy is from the ground, based on people’s lived ...

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Z.ai debuts open source GLM-4.6V, a native tool-calling vision model for multimodal reasoning
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Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for ...

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How Does A Multimodal LLM Work? The Vision Story
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Multimodal Large Language Models (MLLMs) have lately become the talk of the AI universe. It is dynamically reshaping how AI ...

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Google Enhances AI Mode with Multimodal Search Capabilities • iPhone in Canada Blog
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Google has unveiled a significant enhancement to its AI Mode in Search, introducing multimodal capabilities that allow users to interact with the search ...

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Multimodal Interrogations of Anthropologically Unintended Media – Video link
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Matt Durington and I had a wonderful time giving a talk at UBC Okanagan. Thanks to Dr. Fiona McDonald and the Collaborative and Experimental Ethnography ...

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How to Build Multimodal RAG with Gemma 3 & Docling?
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In this tutorial, we explore how to set up and execute a sophisticated retrieval-augmented generation (RAG) pipeline in Google ...

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How to Build MultiModal AI Agents Using Agno Framework?
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While working on Agentic AI, developers often find themselves navigating the trade-offs between speed, flexibility, and resource ...

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How to Build Multimodal RAG Using Docling?
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Multimodal Retrieval-Augmented Generation (RAG) is a transformative innovation in AI, enabling systems to process and integrate ...

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How to Access Gemma 3 Multimodal?
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Google’s commitment to making AI accessible leaps forward with Gemma 3, the latest addition to the Gemma family of open models. ...

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