Multimodal fine-tuning represents a powerful approach for customizing foundation models (FMs) to excel at specific tasks that involve both visual and textual information. Although base multimodal models offer impressive general…
Article Source
https://aws.amazon.com/blogs/machine-learning/best-practices-for-meta-llama-3-2-multimodal-fine-tuning-on-amazon-bedrock/