Google unveiled exciting updates to its Gemini AI model family during its annual I/O conference for developers on Tuesday. The new model, Gemini 1.5 Flash, is designed for speed and efficiency. According to Demis Hassabis, CEO of Google DeepMind, "Gemini 1.5 Flash excels at summarization, chat applications, image and video captioning, data extraction from lengthy documents and tables, and more."
Google developed Gemini 1.5 Flash in response to developers' needs for a lighter and more cost-effective alternative to the Gemini 1.5 Pro, which was introduced in February. While Gemini 1.5 Pro offers enhanced efficiency and power compared to the original Gemini model released last year, Gemini 1.5 Flash provides comparable capabilities in a smaller package.
Gemini 1.5 Flash falls between Gemini 1.5 Pro and Gemini 1.5 Nano—the latter being Google’s smallest model that operates locally on devices. Through a process known as “distillation,” Google transferred essential knowledge and skills from Gemini 1.5 Pro to Gemini 1.5 Flash, ensuring it retains the Pro model's advanced multimodal capabilities and an extensive context window of one million tokens. This allows Gemini 1.5 Flash to analyze a 1,500-page document or a codebase with over 30,000 lines simultaneously.
It's important to note that Gemini models, including 1.5 Flash and Pro, are primarily intended for developers creating AI products and services rather than for general consumer use.
In addition to launching Gemini 1.5 Flash, Google is enhancing Gemini 1.5 Pro by improving its ability to write code, reason, and interpret audio and image data. A significant update is on the horizon, as Google plans to double the model’s context window to two million tokens later this year. This upgrade will empower Gemini 1.5 Pro to process two hours of video, 22 hours of audio, over 60,000 lines of code, or more than 1.4 million words concurrently.
Both Gemini 1.5 Flash and Pro are now available in public preview through Google’s AI Studio and Vertex AI. Additionally, Google announced the launch of Gemma 2, a new version of its open model. However, these updates are primarily tailored for developers or tech enthusiasts interested in building AI applications and services.