LLaVA is an open-source large multi-modal model that combines the Vicuna LLM and CLIP vision encoder. The video compares the initial LLaVA model with more recent versions based on Meta’s llama3 and Microsoft’s phi3. The comparison includes tasks such as extracting code from a SQL query, identifying Cristiano Ronaldo, understanding a graph/network diagram, and more. Links to the LLaVA GitHub repository, Ollama models, and relevant code are provided. The video links showcase the comparison between the different LLaVA models. The focus is on the capabilities and performance of these models in various tasks, highlighting advancements and improvements in the newer versions. Overall, the content explores the evolution and effectiveness of LLaVA models in handling complex multi-modal tasks.
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Source link: https://www.youtube.com/watch?v=WpuuvdgJxhs
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Are LLaVA variants superior to the original version? #improvement
Preeti
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