Google officially launched its new visual-language multimodal model, PaliGemma, under the Gemma series of lightweight open models at today's developer conference. This innovative model aims to solve core issues such as image captioning, visual question answering, and image retrieval, and is immediately open to developers worldwide to help them achieve more possibilities in their projects.

PaliGemma stands out as a new member of the Gemma family with its unique features and advantages. It is not only the only model designed to convert visual information into written language but also a highly efficient small language model (SLM). This feature allows PaliGemma to run without requiring a large amount of memory or processing power, making it particularly suitable for resource-constrained devices such as smartphones, IoT devices, and personal computers.

Developers have shown great interest in the release of PaliGemma. This model brings them unprecedented opportunities and can be applied in various fields such as content generation, enhanced search functionality, and assisting visually impaired individuals in understanding the world around them. In today's increasingly popular AI technology, the launch of PaliGemma will help developers efficiently implement AI technology on mobile and IoT devices, providing users with smarter and more convenient experiences.

In addition to the release of PaliGemma, Google also revealed the largest version of its Gemma series, with up to 27 billion parameters. This news further demonstrates Google's continuous investment and innovative strength in the field of AI technology. With the continuous improvement and development of the Gemma series, we have reason to believe that Google will continue to lead the application and development of AI technology globally.

The launch of PaliGemma marks an important step for Google in promoting the application of AI technology on mobile and IoT devices. With more developers and businesses joining, we look forward to seeing more innovative applications based on PaliGemma, bringing users more intelligent and personalized service experiences.