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Google recently introduced its latest artificial intelligence model, the Gemini 1.5 Pro, which represents the next generation in artificial intelligence. Built on the MoE architecture, this new model has significant advances over its counterparts. Google has positioned the Gemini 1.5 Pro as a superior model and notably advanced compared to its predecessors. The 1.5 Pro, which serves as the inaugural version of the Gemini 1.5 line, is currently in initial testing. Characterized as a medium-sized multimodal model, it has been optimized for scalability across a wide range of tasks.
What makes Gemini 1.5 Pro stand out?
What sets the Gemini 1.5 Pro apart is its extensive understanding of context across different modalities. Google claims that the Gemini 1.5 Pro can achieve comparable results to the recently released Gemini 1.0 Ultra, but with significantly reduced computing power. The standout feature of Gemini 1.5 Pro is its ability to consistently process information across up to one million tokens, marking the longest context window for any large-scale fundamental model to date. To provide context, Gemini 1.0 models offer a context window of up to 32,000 tokens, GPT-4 Turbo has 128,000 tokens, and Claude 2.1 has 200,000 tokens.
Although the model comes with a standard context window of 128,000 tokens, Google allows a select group of developers and enterprise customers to experiment with a context window of up to one million tokens. Currently in preview mode, developers can test the Gemini 1.5 Pro using Google’s AI Studio and Vertex AI.
Gemini 1.5 Pro use cases?
The Gemini 1.5 Pro is said to be capable of processing approximately 700,000 words or around 30,000 lines of code, a substantial increase compared to the capacity of the Gemini 1.0 Pro, which can handle 35 times less. Additionally, Gemini 1.5 Pro can efficiently handle 11 hours of audio and 1 hour of video in multiple languages. Demonstration videos shared on Google’s official YouTube channel illustrated the model’s extensive contextual understanding, with a 402-page PDF as a guide. The live interaction showed the model’s responsiveness to a message consisting of 326,658 tokens, including 256 image tokens, for a total of 327,309 tokens.
Another demonstration highlighted the Gemini 1.5 Pro’s use of a 44-minute video, specifically a recording of a silent Sherlock Jr. movie, accompanied by several multimodal cues. The total tokens for the video amounted to 696,161, with 256 tokens for images. The demo showed a user instructing the model to display specific moments and associated information in the video, asking the model to provide timestamps and details corresponding to the video.
Meanwhile, a separate demo showed the model interacting with 100,633 lines of code through a series of multimodal prompts.