As the scale and complexity of information grow, problem-solving becomes increasingly challenging. As a result, we are entering the era of Large Language Models (LLM). In response to this, Google recently unveiled Gemini, the next-generation LLM, last month. Google has announced plans to showcase and apply the performance of Gemini, an artificial intelligence (AI) model that surpasses its previous state-of-the-art LLM, ‘PaLM’.
Gemini signifies a one-step upgrade in the journey towards building more useful AI models for everyone. Unlike other AI models, Gemini has been trained to recognize, understand, and integrate various types of information, including text, images, audio, video, and code. This mirrors the way humans perceive, listen, read, speak, and comprehend diverse types of information simultaneously.
Gemini is categorized into three models – Gemini Ultra, Pro, and Nano – based on performance and size. Gemini Ultra stands as the largest and most powerful model designed for highly complex tasks, Gemini Pro is the top model with scalability across a wide range of tasks, and Gemini Nano is the most efficient model for on-device operations. The cutting-edge capabilities of Gemini are poised to significantly enhance the way developers and business clients build and scale AI.
You can now utilize Gemini Pro as a preview version in Vertex AI. Leveraging Gemini Pro, developers can build new and differentiated generative AI applications that process information across text, language, code, images, and videos. Vertex AI provides features to deploy, manage, and automatically evaluate and monitor the quality and reliability of generative AI applications in production environments.
Built on the Gemini API, Vertex AI offers capabilities to utilize, customize, enhance, manage, and deploy applications comprehensively using Gemini.
Developers can perform the following tasks through Vertex AI:
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