Apple Researchers Detail Method to Combine Different LLMs to Achieve State-of-the-Art Performance

MMLMs combine a large language model with a vision foundation model to outperform existing foundation models.

Key aspects for MLLM design include image resolution, visual encoder loss, pre-training data choices, and the importance of interleaved and text-only training data.

Read at InfoQ