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[short] LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
The paper introduces LLaVA-Plus, a multimodal assistant trained using an end-to-end approach that expands the capabilities of large multimodal models. LLaVA-Plus outperforms previous models and enables new scenarios by actively engaging with users throughout the interaction.
https://arxiv.org/abs//2311.05437
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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By Igor Melnyk
5
33 ratings
The paper introduces LLaVA-Plus, a multimodal assistant trained using an end-to-end approach that expands the capabilities of large multimodal models. LLaVA-Plus outperforms previous models and enables new scenarios by actively engaging with users throughout the interaction.
https://arxiv.org/abs//2311.05437
YouTube: https://www.youtube.com/@ArxivPapers
TikTok: https://www.tiktok.com/@arxiv_papers
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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