Launch: Fine-Tune PaliGemma-2 for VQA with Roboflow

Google's PaliGemma-2, part of their multimodal model series, can now be fine-tuned for visual question answering (VQA) using Roboflow, as detailed in a guide by James Gallagher. The process involves creating an image-text project on Roboflow, uploading and labeling data, and training the model to perform tasks such as counting shapes in images. Once training is complete, the model is deployed using Roboflow Inference, allowing it to run locally on a device. The guide recommends utilizing Roboflow Workflows for building applications that leverage the fine-tuned model, offering over 50 blocks to create production-ready, vision-based applications.