Gemini Pro 1.5 overtakes GPT-4 Turbo with 1 million tokens: what does it mean? should understand this (2024)
Amidst the frenzy surrounding OpenAI's Sora text-to-video AI model, Google is making waves of its own in the AI landscape. Following the rebranding of its AI chatbot to Google Gemini, Alphabet Inc. has unveiled its latest innovation: the Gemini 1.5 Pro. Built on MoE architecture, this next-generation AI model is touted to outshine its counterparts significantly.
With the introduction of Gemini 1.5 Pro, Google appears to have raised the bar, presenting a model that surpasses its predecessors by leaps and bounds. Serving as the inaugural model in the Gemini 1.5 series, the 1.5 Pro is poised for early testing, promising superior performance. This mid-size multimodal model has been meticulously optimized for a wide array of tasks, showcasing Google's commitment to pushing the boundaries of AI technology. Let's delve deeper into the advancements brought forth by Gemini 1.5 Pro.
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What is the Gemini 1.5 Pro?
The standout feature of Gemini 1.5 Pro lies in its remarkable long-context understanding across various modalities. Google asserts that despite requiring significantly less computing power, Gemini 1.5 Pro can achieve comparable results to the recently launched Gemini 1.0 Ultra. What truly sets Gemini 1.5 Pro apart is its ability to consistently process information across a staggering one million tokens, boasting the longest context window among large-scale foundation models to date.
To put things into perspective, while Gemini 1.0 models have a context window of up to 32,000 tokens, GPT-4 Turbo extends to 128,000 tokens, and Claude 2.1 reaches 200,000 tokens. Although the standard context window for Gemini 1.5 Pro remains at 128,000 tokens, Google is granting a select group of developers and enterprise customers the opportunity to experiment with an extended context window of up to one million tokens during the preview phase.
Google emphasizes that the development of Gemini 1.5 Pro has been a result of continuous testing, refinement, and enhancement since the launch of Gemini 1.0. At its core, the 1.5 Pro model is built upon the innovative Mixture-of-Experts (MoE) architecture. This approach involves breaking down the problem into numerous sub-tasks, each trained by a cluster of experts, thereby enabling comprehensive coverage of different input data by different learners or experts.
This marks a significant advancement in Google's approach, leveraging extensive research and engineering innovations across all aspects of foundational model development and infrastructure. Google asserts that the new MoE architecture enhances the efficiency of training and serving the Gemini 1.5 Pro model, signifying a substantial step forward in AI technology.
Exploring the Applications of Gemini 1.5 Pro: A Dive into Its Use Cases
Gemini 1.5 Pro boasts impressive capabilities, reportedly able to ingest up to 700,000 words or approximately 30,000 lines of code, a significant leap compared to Gemini 1.0 Pro. Additionally, it can process up to 11 hours of audio and 1 hour of video across multiple languages.
Demonstration videos shared on Google's official YouTube channel illustrate the model's remarkable long-context understanding. One demo showcases the model's interaction with a 402-page PDF, containing 326,658 tokens of text and 256 tokens worth of images. The model seamlessly responds to prompts based on the PDF content, demonstrating its adeptness in processing vast amounts of data.
Another demo features Gemini 1.5 Pro analyzing a 44-minute video, along with accompanying multimodal prompts. With a total of 696,161 tokens for the video and 256 tokens for images, the model accurately identifies specific moments in the video based on user queries, providing timestamps and relevant details.
Furthermore, a separate demo highlights the model's ability to engage with 100,633 lines of code, showcasing its versatility across various multimodal prompts.
Read more: Google AI
Unlocking the Details: Pricing and Availability of Gemini 1.5 Pro
According to reports, during a preview phase, Google indicated that the Gemini 1.5 Pro, featuring a 1 million-token context window, will be offered free of charge. However, Google may introduce pricing tiers in the future for models starting with a 128,000-context window and scaling up to 1 million tokens.
Gemini 1.5 Pro represents a new milestone in Google's AI advancements. In December of the previous year, Google unveiled its highly adaptable AI model, Gemini 1.0, available in three distinct sizes: Gemini Ultra, Gemini Pro, and Gemini Nano. Upon its launch, Google asserted that Gemini 1.0 surpassed several benchmarks in various domains, including coding and text comprehension. Renowned for their multimodal capabilities, all sizes within the Gemini series excel in comprehending text, images, audio, and more.
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