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GAIR has introduced Anole, the first open-source, autoregressive native Large Multimodal Model (LMM) for multimodal generation. Building on Chameleon by Meta AI, Anole represents a significant advancement in the field of multimodal models, integrating visual and language models seamlessly without the need for adapters. This development is being compared to the 'Alpaca moment' for LMMs, highlighting its potential impact on the industry. The model is part of GAIR lab's ongoing efforts to push the boundaries of AI research and development.
We recently tested public LVLMs for fine-grained object classification (https://t.co/a9NBjwnJOg). Models pretraining with >1B examples crushed it compared to LLaVA & co. PaliGemma was excellent, too, despite its size and this part of the report explains now why. https://t.co/9cemvEwwdG
Our PaliGemma technical report is finally out: https://t.co/BG8yiIWsBV. We share many insights that we learned while cooking the PaliGemma-3B model. Both about pretraining and transfer. https://t.co/Rs4KEBnhee
The paper for PaliGemma is out (🥳🎉). Here is a quick summary: - 3B VLM - Open base VLM - (Image + text) as inputs (prefix) -> text (suffix) Architecture - Image encoder: Shape optimized ViT So400m image encoder from SigLip - Language model: Gemma 2B v1.0 checkpoint - A… https://t.co/q5yXpcvJnq