Google’s Gemini Pro 1.5 is now available for public preview on Vertex AI
The public preview launch of Gemini 1.5 Pro on Vertex AI marks a significant milestone in Google’s AI development efforts, particularly within its enterprise-focused platform. Announced during the Cloud Next conference in Las Vegas, this unveiling showcases Google’s commitment to advancing generative AI capabilities to meet the evolving needs of its users.
Gemini 1.5 Pro, an addition to Google’s Gemini family of generative AI models, boasts an impressive feature set, with its standout capability being the extensive amount of context it can process. Ranging from 128,000 tokens to a staggering 1 million tokens, where tokens represent subdivided units of raw data, this model demonstrates unparalleled processing power. To put it into perspective, 1 million tokens equate to approximately 700,000 words or around 30,000 lines of code, dwarfing the capabilities of competing models like Anthropic’s Claude 3 and OpenAI’s GPT-4 Turbo in terms of context intake.
1. Breaking down + understanding a long video
I uploaded the entire NBA dunk contest from last night and asked which dunk had the highest score.
Gemini 1.5 was incredibly able to find the specific perfect 50 dunk and details from just its long context video understanding! pic.twitter.com/01iUfqfiAO
— Rowan Cheung (@rowancheung) February 18, 2024
Context, or the context window of a model, refers to the initial data set it considers before generating output. This could be anything from a simple question to a lengthy text document. By leveraging such vast amounts of context, Gemini 1.5 Pro is poised to revolutionize various applications, from natural language processing tasks to code generation and beyond.
Google’s commitment to pushing the boundaries of AI research and development is evident in the capabilities of Gemini 1.5 Pro. As enterprises increasingly rely on AI technologies to drive innovation and efficiency, the availability of advanced models like Gemini 1.5 Pro on Vertex AI offers unparalleled opportunities for organizations to harness the power of generative AI in their workflows.
