Google held the keynote session of its annual developer-focused Google I/O occasion on Tuesday. Through the session, the tech big closely centered on new developments within the artificial intelligence (AI) entrance and launched numerous new AI fashions in addition to new options for the prevailing infrastructure. A significant spotlight was the introduction of a two million token context window for Gemini 1.5 Professional, which is at present out there for builders. A quicker variant of Gemini in addition to the following era of Google’s small language fashions (SML) Gemma 2 was additionally launched.
The occasion was kickstarted by CEO Sundar Pichai who made one of many greatest bulletins of the evening — the supply of a two million token context window for Gemini 1.5 Professional. The corporate launched a a million token context window earlier this yr however to date, it was solely out there to builders. Google has now made it usually out there in public preview and may be accessed by Google AI Studio and Vertex AI. As an alternative, the 2 million token context window is solely out there by way of waitlist to builders utilizing the API and to Google Cloud prospects.
With a context window of two million, Google claims, the AI mannequin can course of two hours of video, 22 hours of audio, greater than 60,000 strains of codes, or greater than 1.4 million phrases in a single go. In addition to enhancing contextual understanding, the tech big has additionally improved Gemini 1.5 Professional’s code era, logical reasoning, planning, multi-turn dialog, in addition to the understanding of pictures and audio. The tech big can be integrating the AI mannequin into Gemini Superior and Workspace apps.
Google has additionally launched a brand new addition to the household of Gemini AI fashions. The brand new AI mannequin, dubbed Gemini 1.5 Flash is a lightweight mannequin that’s designed to be quicker, extra responsive, and cost-efficient. The tech big mentioned that it has labored on enhancing its latency to enhance its pace. Whereas fixing advanced duties wouldn’t be its power, it might do duties corresponding to summarisation, chat functions, picture and video captioning, knowledge extraction from lengthy paperwork and tables, and extra.
Lastly, the tech big introduced the following era of its smaller AI fashions, Gemma 2. The mannequin comes with 27 billion parameters however can run effectively on GPUs or a single TPU. Google claims that Gemma 2 outperforms fashions twice its dimension. The corporate is but to launch its benchmark scores.
