Paper summary
Paper summary: MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Apple's MM1 ablates how to build multimodal LLMs and finds the data mix and image encoder (resolution, token count) matter a lot, while the vision–language connector design matters little.
- Mixing image–caption, interleaved image–text and text-only data was crucial for strong few-shot results.
- Image resolution and the number of image tokens mattered far more than the connector architecture.