Kosmos-1: Microsoft's Multimodal Language Model

<p>In recent years, there has been significant interest in the development of Artificial General Intelligence (AGI), which can perform a wide range of tasks across various domains, similar to human intelligence. One of the most important steps towards creating AGI is the integration of language, perception, action, and world modeling. In this regard, researchers from Microsoft have introduced Kosmos-1, a Multimodal Large Language Model (MLLM) that can perceive multiple modalities (image, video, text, etc.), learn in context (few shots), and execute instructions (zero shot).</p>
<p>Kosmos-1 is trained on several modalities (for example, image-text pairs), which allows it to go beyond classical text2text or text2img, etc.</p>
<p>Paper: <a href="https://arxiv.org/abs/2302.14045">https://arxiv.org/abs/2302.14045</a><br/>;
Code: <a href="https://github.com/microsoft/unilm">https://github.com/microsoft/unilm</a></p>;
<p>#ai #agi #mllm #singularity</p>