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Many-Shot In-Context Learning in Multimodal Foundation Models
Multimodal foundation models show improved performance in many-shot in-context learning, with Gemini 1.5 Pro demonstrating higher efficiency and scalability compared to GPT-4o.
https://arxiv.org/abs//2405.09798
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
Multimodal foundation models show improved performance in many-shot in-context learning, with Gemini 1.5 Pro demonstrating higher efficiency and scalability compared to GPT-4o.
https://arxiv.org/abs//2405.09798
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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