Genkit for Go is an open source framework for building AI-powered applications in Go. It leverages Go's simplicity, scalability, and security, and is currently in alpha.

Google has developed a number of technologies that you can use to start experimenting with and exploring the potential of generative AI to process data that needs to stay private.

Use Gemma models to translate an old language, brainstorm game design ideas, and write a letter to Santa.

Use Gemma Supervised tuning on Ray on Vertex AI to train and serve machine learning models efficiently and effectively.

Here are some highlights from what we announced both on stage in Berlin and elsewhere in the world in celebration of this event!

The next generation of Gemma models is now available in KerasNLP.

Developers will now be able to give Gemini 1.5 Flash a set of pre-trained data of their own and tune it to improve model performance significantly.

Model Explorer, a new graph visualization tool from Google AI Edge, enables developers to overcome the complexities of optimizing models for edge devices.

Adding a helpful twist to a classic crossword puzzle with the power of Flutter, Firebase, and the Gemini API.

Google Developer Student Clubs globally are tackling the United Nations' Sustainable Development Goals