Meet SPHINX: A Versatile Multi-Modal Large Language Model (MLLM) with a Mixer of Training Tasks, Data Domains, and Visual Embeddings

In multi-modal language models, a pressing challenge has emerged – the inherent limitations of existing models in grappling with nuanced visual instructions and executing a myriad of diverse tasks seamlessly. The crux of the matter lies in the quest for models that transcend traditional boundaries, capable of comprehending complex visual queries and executing a wide […]

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