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multimodal-ai.

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Apertus 1.5 Proves Open Multimodal Models Can Scale Without Proprietary Shortcuts

Apertus 1.5 adds multimodal capabilities to an open 8B and 70B model with full transparency. Here's what the architecture teaches us about open AI development.

NeoMME: The Efficient Multimodal Encoder That Skips the VLM Bloat

NeoMME ditches separate vision towers for unified multimodal encoding. I break down why this matters for document retrieval and what it means for building efficient AI systems.

NeoMME: Building Document Retrieval Without Pretrained VLM Overhead

NeoMME is a 260M/800M multimodal encoder that rethinks visual document retrieval by training a single bidirectional Transformer from scratch instead of stacking pretrained components.
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