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We’re introducing a series of updates across the Gemini family of models, including the new 1.5 Flash, our lightweight model for speed and efficiency, and Project Astra, our vision for the future... 14 May 2024.
Dec 6, 2023 · Starting on December 13, developers and enterprise customers can access Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI. Google AI Studio is a free, web-based developer tool to prototype and launch apps quickly with an API key.
May 14, 2024 · This new arrival burst onto the scene in February 2024 (after being announced at the end of 2023) and immediately made some big waves in the AI world. But is it enough to defeat GPT-4? What...
Google Gemini helps boost creativity and productivity with AI-powered chat for writing, planning, and learning.
Feb 15, 2024 · The first Gemini 1.5 model we’re releasing for early testing is Gemini 1.5 Pro. It’s a mid-size multimodal model, optimized for scaling across a wide-range of tasks, and performs at a similar level to 1.0 Ultra , our largest model to date.
Google announced Gemini, a large language model (LLM) developed by subsidiary Google DeepMind, during the Google I/O keynote on May 10, 2023. It was positioned as a more powerful successor to PaLM 2, which was also unveiled at the event, with Google CEO Sundar Pichai stating that Gemini was still in its early developmental stages.
Dec 6, 2023 · The most powerful Gemini version of all will debut in 2024, pending “extensive trust and safety checks,” Google says. “It's a big moment for us,” Demis Hassabis, CEO of Google DeepMind, told...
Dec 6, 2023 · Google on Wednesday launched its most ambitious effort yet to compete in the rapidly growing field of generative artificial intelligence, launching an AI model known as Gemini that’s designed...
Dec 6, 2023 · Developers and enterprise customers will be able to access Gemini Pro through Google Generative AI Studio or Vertex AI in Google Cloud starting on December 13th. Gemini is only available in...
May 14, 2024 · The first model to outperform human experts on MMLU (Massive Multitask Language Understanding), a benchmark that uses 57 subjects including math, physics, history, law, medicine and ethics to test both world knowledge and problem-solving ability.
