{"id":257,"date":"2024-05-06T12:01:12","date_gmt":"2024-05-06T12:01:12","guid":{"rendered":"http:\/\/localhost:8888\/sawberries\/2024\/05\/06\/nvidia-visual-language-model-vila-enhances-multimodal-ai-capabilities\/"},"modified":"2024-05-06T12:01:12","modified_gmt":"2024-05-06T12:01:12","slug":"nvidia-visual-language-model-vila-enhances-multimodal-ai-capabilities","status":"publish","type":"post","link":"http:\/\/localhost:8888\/sawberries\/2024\/05\/06\/nvidia-visual-language-model-vila-enhances-multimodal-ai-capabilities\/","title":{"rendered":"NVIDIA\u2019s Visual Language Model VILA Enhances Multimodal AI Capabilities"},"content":{"rendered":"
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The artificial intelligence (AI) landscape continues to evolve, demanding models capable of handling vast datasets and delivering precise insights. Fulfilling these needs, researchers at NVIDIA and MIT have recently introduced a Visual Language Model (VLM), VILA. This new AI model stands out for its exceptional ability to reason among multiple images. Moreover, it facilitates in-context [\u2026]<\/p>\n

The post NVIDIA\u2019s Visual Language Model VILA Enhances Multimodal AI Capabilities<\/a> appeared first on Analytics Vidhya<\/a>.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

The artificial intelligence (AI) landscape continues to evolve, demanding models capable of handling vast datasets and delivering precise insights. Fulfilling these needs, researchers at NVIDIA and MIT have recently introduced a Visual Language Model (VLM), VILA. This new AI model stands out for its exceptional ability to reason among multiple images. Moreover, it facilitates in-context […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7,552,553,17,438,554,20,555,99,248,28,556,557],"tags":[],"_links":{"self":[{"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/posts\/257"}],"collection":[{"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/comments?post=257"}],"version-history":[{"count":0,"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/posts\/257\/revisions"}],"wp:attachment":[{"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/media?parent=257"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/categories?post=257"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/localhost:8888\/sawberries\/wp-json\/wp\/v2\/tags?post=257"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}