In addition, Google DeepMind is introducing updates to the Gemini family of models, announcing the next generation of open models, Gemma 2, and sharing progress on Project Astra. Project Astra aims to develop universal AI agents that can understand and respond to the complex and dynamic world just like people do. The company has developed prototype agents that can process information faster and respond quickly in conversation. Some of these capabilities will be integrated into Google products later this year.
Key takeaways:
- Google DeepMind is introducing a series of updates across the Gemini family of models, including the new 1.5 Flash, a lightweight model for speed and efficiency, and Project Astra, a vision for the future of AI assistants.
- Gemini 1.5 Flash is designed for high-volume, high-frequency tasks at scale, and is more cost-efficient to serve. It excels at summarization, chat applications, image and video captioning, data extraction from long documents and tables, and more.
- Significant improvements have been made to 1.5 Pro, including extending its context window to 2 million tokens, enhancing its code generation, logical reasoning and planning, multi-turn conversation, and audio and image understanding.
- Google DeepMind is also announcing Gemma 2, the next generation of open models for responsible AI innovation, and sharing progress on the future of AI assistants with Project Astra, which aims to develop universal AI agents that can be helpful in everyday life.