The episode describes PaliGemma 2, a Vision-Language model developed by Google Research, known for its versatility and training on extensive multimodal datasets. Its architecture integrates a visual encoder with Gemma 2 language models, scaling from 3 to 28 billion parameters and various resolutions. The model excels in multiple domains, ranging from optical character recognition to medical report generation, demonstrating a good balance between accuracy, computational efficiency, and ethical considerations. Finally, future development perspectives are outlined, focusing on optimization and specialization.