Google has launched Gemini, its most extensive and advanced artificial intelligence model yet, amidst growing competition in the AI field and pressure to monetize AI technology. The model comes in three sizes: Gemini Ultra, Gemini Pro, and Gemini Nano, each tailored for different levels of tasks and applications. This strategic move by Google aims to leverage Gemini in various sectors, from customer service to content creation, and integrate it into Google products like the Bard chatbot and Search Generative Experience.
Gemini stands out for its multimodal capabilities, meaning it can process and combine different types of information, including text, code, audio, image, and video. This versatility opens up a wide range of applications for developers and enterprise customers, who can access Gemini Pro via Google AI Studio or Google Cloud Vertex AI starting December 13. The Android developer community can also use Gemini Nano for mobile device applications.
A notable feature of Gemini Ultra is its performance on the MMLU (massive multitask language understanding) benchmark, where it outperformed human experts. This achievement is a testament to its ability to understand complex subjects and nuances. Gemini Ultra will power "Bard Advanced," an upcoming version of Google’s chatbot Bard, enhancing its reasoning and understanding capabilities.
However, questions about Gemini's novel capabilities compared to current LLMs (large language models) like GPT-4 remain. While Google has indicated that Gemini Ultra outperformed GPT-4 in some benchmarks, detailed comparisons and technical specifics are awaited.
The launch of Gemini also coincides with the introduction of Google's next-generation tensor processing unit, TPU v5p, which promises improved AI training performance at a better cost efficiency. This development is critical as Google navigates its path in turning AI advancements into profitable ventures.
Overall, Gemini represents a significant step for Google in the AI landscape, highlighting its commitment to innovation and its ambition to remain at the forefront of AI technology development.